Computer Science Engineering student with hands-on experience developing machine learning applications, AI-based prediction systems, web applications, and e-commerce platforms.
2023 - 2027
Master of Business Administration
Bachelor of Technology, Computer Engineering
2023–2027
CGPA: 8.47
Machine learning with AI Certification Course, Machine learning with Ai
Intermediate (CBSE)
2022–2023
Percentage: 91%; maintained over 90% in 10th and 12th grades
Designed and developed an end-to-end ML application with Flask to collect form inputs, run custom machine learning predictions, and display results through a dynamic front end. Built a prediction pipeline using Python, pandas, numpy, and scikit-learn and integrated backend logic with HTML templates.
Developed a machine learning system to predict diseases using patient healthcare data. Performed data preprocessing, cleaning, feature engineering, exploratory data analysis, analysis, and visualization using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
Developed a machine learning-based system to predict safer travel routes using geospatial and environmental data. Processed distance, elevation, and terrain-related features, then compared routes and selected optimal paths based on safety criteria.
Built a responsive e-commerce platform using HTML, CSS, JavaScript, and a Node.js backend. Developed product management, vendor control, and shopping cart modules using JSON for data storage, with user-friendly interfaces and asynchronous APIs.
University Events
Youth Camp, Dalhousie
Hack-N-Win Hackathon at CGC Jhangeri