Designed and developed a responsive e-commerce platform for a campus-based startup. Helped the startup to increase the number of customers by 15%. Used Firebase for proper authorization and authentication.

Created a full-stack blogging platform with secure Google Sign-In using Firebase Authentication. Tested with 10 users and updated the website based on their feedback.

Created an immersive web platform using NASA's open APIs to let users explore space-related images, rovers, and daily astronomy content. Implemented search and filtering with real-time data fetching, enhancing educational engagement.

Built a machine learning model to predict customer churn using logistic regression and decision trees. Achieved an accuracy of 80% using logistic regression and 74% via decision trees.

Developed a predictive model to classify whether a loan should be approved based on user attributes. Achieved an accuracy of 76% using logistic regression.

Solved the classic Titanic dataset challenge by building a Random Forest model to predict survival. Achieved 76% accuracy through hyperparameter tuning.

Built an ongoing repository implementing major data structures and algorithms in C++. Still expanding it as I explore new topics like trees, graphs, and dynamic programming.

Maintaining a categorized list of solved problems from the CSES Problem Set. Solved problems across Introductory problems, graphs, sorting and searching.