Portfolio

Developed a recommendation algorithm using content-based and collaborative filtering to predict user ratings for movies they have not yet viewed. This system aims to enhance user experience by providing personalized movie suggestions, akin to platforms like Netflix and Amazon Prime. A functional recommender system boosts user engagement, satisfaction, and platform revenue by exposing users to content they are likely to enjoy.

Objective: Create a robust algorithm capable of accurately predicting user preferences based on historical data.

Skills: ML, Recommender Systems, Unsupervised Learning

I worked as a Machine Learning Engineer

Our solution focused on minimizing bus waiting times, resulting in enhanced efficiency and an improved passenger experience. By leveraging accurate bus arrival predictions, real-time updates, and a streamlined booking process, we aim to optimize time utilization, increase convenience, and transform public transportation into a more attractive, reliable, and accessible mode of travel for individuals across diverse communities. Our goal is to empower people with efficient and enjoyable commuting experiences while fostering sustainable and inclusive transportation systems.

Skills: Collaboration, Solution Models, Leadership 

I worked as a UI/UX designer