SOWMYA SRI
Explored Various Languages
Explored Various Languages
Hi, I'm Sowmya!
Hi, I'm Sowmya!
HTML5/CSS3 Mastery
Exploring AI/ML
UX/UI Expertise
Branding
Collaborative Team Player
HTML5/CSS3 Mastery
Exploring AI/ML
UX/UI Expertise
Branding
Collaborative Team Player
About Me
Greetings! I am Sowmya, and my journey began with a strong foundation in Computer Science Engineering, specializing in AI & ML at GITAM University. Continuous learning and adaptability have played a major role in my academics, while leadership and other personal development skills have enhanced my experience during my time in college clubs.
Greetings! I am Sowmya, and my journey began with a strong foundation in Computer Science Engineering, specializing in AI & ML at GITAM University. Continuous learning and adaptability have played a major role in my academics, while leadership and other personal development skills have enhanced my experience during my time in college clubs.
Greetings! I am Sowmya, and my journey began with a strong foundation in Computer Science Engineering, specializing in AI & ML at GITAM University. Continuous learning and adaptability have played a major role in my academics, while leadership and other personal development skills have enhanced my experience during my time in college clubs.
I am proficient in Python, C, Java, HTML, CSS, JavaScript, DBMS, SQL, and possess a solid understanding of core computer concepts. My expertise also includes AI/ML algorithms. Key soft skills include problem-solving, communication, collaboration, and adaptability.
I am proficient in Python, C, Java, HTML, CSS, JavaScript, DBMS, SQL, and possess a solid understanding of core computer concepts. My expertise also includes AI/ML algorithms. Key soft skills include problem-solving, communication, collaboration, and adaptability.
I am proficient in Python, C, Java, HTML, CSS, JavaScript, DBMS, SQL, and possess a solid understanding of core computer concepts. My expertise also includes AI/ML algorithms. Key soft skills include problem-solving, communication, collaboration, and adaptability.
I have gained hands-on experience in both web development and AI/ML. At Arya Legal Process, I worked as a web development intern where I built dynamic web applications and contributed to backend integration. Through internships with EduSkills Foundation and the AICTE TechSaksham program, I deepened my understanding of AI/ML by working on real-world prediction models and deploying ML-based web apps. Additionally, my leadership roles in college clubs have strengthened my event management, communication, and team-building abilities.
I have gained hands-on experience in both web development and AI/ML. At Arya Legal Process, I worked as a web development intern where I built dynamic web applications and contributed to backend integration. Through internships with EduSkills Foundation and the AICTE TechSaksham program, I deepened my understanding of AI/ML by working on real-world prediction models and deploying ML-based web apps. Additionally, my leadership roles in college clubs have strengthened my event management, communication, and team-building abilities.
I have gained hands-on experience in both web development and AI/ML. At Arya Legal Process, I worked as a web development intern where I built dynamic web applications and contributed to backend integration. Through internships with EduSkills Foundation and the AICTE TechSaksham program, I deepened my understanding of AI/ML by working on real-world prediction models and deploying ML-based web apps. Additionally, my leadership roles in college clubs have strengthened my event management, communication, and team-building abilities.
Experience
Testimonials
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google IML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
Arya Legal Process
Web Development Intern
Built and deployed a full-stack legal services platform to manage barcode registrations, product/company records (200+), and client queries. Developed responsive UIs using HTML, CSS, and JS, integrated camera-based barcode scanning, and implemented backend APIs with Node.js, Express.js, and MongoDB. Enabled email notifications using Nodemailer and improved operational efficiency by 60%. Hosted backend on Render and frontend via GitHub Pages for continuous live access.
TechSaksham
Machine Learning Intern
Developed an ML-based disease outbreak prediction system during the TechSaksham Internship (Microsoft & SAP). Worked on data preprocessing, feature scaling, and training ML models (SVM, Logistic Regression, Random Forest, KNN). Evaluated performance using accuracy scores & confusion matrices and deployed a Streamlit web app for real-time predictions.
EduSkills
Google AIML Virtual Internship
I successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning offered by EduSkills Foundation® in collaboration with Google for Developers and AICTE. Throughout the internship, I explored real-world applications of AI and ML, strengthened my technical foundation and problem-solving abilities, and worked on challenging projects that expanded my skill set and boosted my confidence.
PepsiCo
Sales And Marketing Intern
I had the opportunity to participate in the PepSheCo Sales Star Micro-Internship with PepsiCo, hosted in collaboration with PepsiCo India and Internshala. During this program, I actively engaged with the content, demonstrated enthusiasm for learning, and completed the required assessment. My dedication and commitment significantly contributed to the success of the internship, and I am proud to have gained valuable insights into sales and marketing strategies through this experience.
My Stack
I extensively worked with C programming to develop various applications and solve complex problems. This experience sharpened my skills in memory management, algorithm implementation, and system-level programming, showcasing my ability to manage low-level programming tasks effectively.
C
I extensively worked with C programming to develop various applications and solve complex problems. This experience sharpened my skills in memory management, algorithm implementation, and system-level programming, showcasing my ability to manage low-level programming tasks effectively.
C
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I extensively worked with C programming to develop various applications and solve complex problems. This experience sharpened my skills in memory management, algorithm implementation, and system-level programming, showcasing my ability to manage low-level programming tasks effectively.
C
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I used Python for data analysis, visualization, and implementing machine learning models. The project involved cleaning datasets, applying algorithms, and extracting insights, showcasing my ability to handle complex data and solve real-world problems.
Python
I used Python for data analysis, visualization, and implementing machine learning models. The project involved cleaning datasets, applying algorithms, and extracting insights, showcasing my ability to handle complex data and solve real-world problems.
Python
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I used Python for data analysis, visualization, and implementing machine learning models. The project involved cleaning datasets, applying algorithms, and extracting insights, showcasing my ability to handle complex data and solve real-world problems.
Python
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As a beginner in Java, I have worked on small projects that have helped me build a solid foundation in object-oriented programming concepts such as classes, methods, and inheritance. These mini projects have allowed me to progressively enhance my understanding and continue developing my Java programming skills.
Java
As a beginner in Java, I have worked on small projects that have helped me build a solid foundation in object-oriented programming concepts such as classes, methods, and inheritance. These mini projects have allowed me to progressively enhance my understanding and continue developing my Java programming skills.
Java
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As a beginner in Java, I have worked on small projects that have helped me build a solid foundation in object-oriented programming concepts such as classes, methods, and inheritance. These mini projects have allowed me to progressively enhance my understanding and continue developing my Java programming skills.
Java
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HTML5 is the backbone of my web design work. I use it to structure content, ensuring that websites are semantically meaningful and accessible. It forms the foundation upon which the visual elements of a site are built.
HTML
HTML5 is the backbone of my web design work. I use it to structure content, ensuring that websites are semantically meaningful and accessible. It forms the foundation upon which the visual elements of a site are built.
HTML
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HTML5 is the backbone of my web design work. I use it to structure content, ensuring that websites are semantically meaningful and accessible. It forms the foundation upon which the visual elements of a site are built.
HTML
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CSS3 is my styling and layout powerhouse. It's instrumental in creating visually appealing websites by controlling everything from fonts and colors to the responsive design that adapts to various screen sizes.
CSS
CSS3 is my styling and layout powerhouse. It's instrumental in creating visually appealing websites by controlling everything from fonts and colors to the responsive design that adapts to various screen sizes.
CSS
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CSS3 is my styling and layout powerhouse. It's instrumental in creating visually appealing websites by controlling everything from fonts and colors to the responsive design that adapts to various screen sizes.
CSS
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I have worked with JavaScript to build interactive web applications, focusing on functions, events, and APIs. This experience strengthened my web development foundation, and I continue to improve my skills in asynchronous programming and API integrations.
Java Script
I have worked with JavaScript to build interactive web applications, focusing on functions, events, and APIs. This experience strengthened my web development foundation, and I continue to improve my skills in asynchronous programming and API integrations.
Java Script
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I have worked with JavaScript to build interactive web applications, focusing on functions, events, and APIs. This experience strengthened my web development foundation, and I continue to improve my skills in asynchronous programming and API integrations.
Java Script
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I used Oracle Live SQL to efficiently program and manage databases. I developed complex SQL queries, performed data manipulation, and optimized database performance. This hands-on experience improved my ability to manage large datasets and execute complex database operations effectively.
Oracle Live SQL
I used Oracle Live SQL to efficiently program and manage databases. I developed complex SQL queries, performed data manipulation, and optimized database performance. This hands-on experience improved my ability to manage large datasets and execute complex database operations effectively.
Oracle Live SQL
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I used Oracle Live SQL to efficiently program and manage databases. I developed complex SQL queries, performed data manipulation, and optimized database performance. This hands-on experience improved my ability to manage large datasets and execute complex database operations effectively.
Oracle Live SQL
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As the Web Development Lead of the GitHub Community at GITAM, I gained experience in version control, managing repositories, and organizing events. This role deepened my understanding of open-source contributions and promoted a collaborative learning environment.
GitHub
As the Web Development Lead of the GitHub Community at GITAM, I gained experience in version control, managing repositories, and organizing events. This role deepened my understanding of open-source contributions and promoted a collaborative learning environment.
GitHub
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As the Web Development Lead of the GitHub Community at GITAM, I gained experience in version control, managing repositories, and organizing events. This role deepened my understanding of open-source contributions and promoted a collaborative learning environment.
GitHub
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I have used Canva to design visually appealing posters, presentations, and promotional materials for events. It allowed me to create eye-catching, professional designs that effectively conveyed messages and contributed to the success of marketing and event promotion.
Canva
I have used Canva to design visually appealing posters, presentations, and promotional materials for events. It allowed me to create eye-catching, professional designs that effectively conveyed messages and contributed to the success of marketing and event promotion.
Canva
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I have used Canva to design visually appealing posters, presentations, and promotional materials for events. It allowed me to create eye-catching, professional designs that effectively conveyed messages and contributed to the success of marketing and event promotion.
Canva
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Figma is my collaborative design platform of choice. I utilize it to work seamlessly with team members and clients, facilitating real-time feedback and design iterations. Its cloud-based approach streamlines the design process.
Figma
Figma is my collaborative design platform of choice. I utilize it to work seamlessly with team members and clients, facilitating real-time feedback and design iterations. Its cloud-based approach streamlines the design process.
Figma
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Figma is my collaborative design platform of choice. I utilize it to work seamlessly with team members and clients, facilitating real-time feedback and design iterations. Its cloud-based approach streamlines the design process.
Figma
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Clubs
01
Vice President | GitHub Community GITAM | AY 25-26
01
Vice President | GitHub Community GITAM | AY 25-26
01
Vice President | GitHub Community GITAM | AY 25-26
01
Vice President | GitHub Community GITAM | AY 25-26
As Vice President of GitHub Community GITAM (2025–26), I supported club operations and cross-domain coordination. I contributed to event planning and mentored juniors. I also assisted with communication and administrative tasks.
As a lead, I actively organized and conducted interactive web development and GitHub workshops. I collaborated on various projects within the GitHub community and guided my team to actively participate and contribute to the club's success.
02
Web Development Lead | GitHub Community GITAM | AY 24-25
02
Web Development Lead | GitHub Community GITAM | AY 24-25
As the Documentation Lead, I extensively contributed to the club by documenting all reports and events. I actively engaged in various events hosted by the Volleyball Club, building strong connections and gaining valuable skills throughout my involvement
