Till recently I was at Amazon as Investigations Specialist 1 safe guarding customers from fraud on e-commerce with some awesome people. I recently graduated from REVA University after completing 2 years Masters of Science in Business Analytics.
As a business analyst specializing in AI and machine learning, I thrive on connecting technical innovation with business strategy — leveraging my expertise in data-driven insights to deliver impactful solutions. My goal is to craft scalable, efficient AI/ML models that solve complex problems while driving measurable value and seamless stakeholder experiences
When I'm not in front of a computer screen, I'm probably cooking, terrace gardening, or listening to podcast on geo politics, international relations and new tech.
Understanding customer purchase behavior helps e-commerce businesses boost sales. This project applies Market Basket Analysis (Apriori, FP-Growth) and customer segmentation (RFM, K-Means) to recommend product bundles and improve cross-selling strategies.
Predicting customer churn is crucial for banks to retain high-value clients. This project analyzes customer behavior, transaction patterns, and account details to develop a predictive model using logistic regression, decision trees, and SHAP explainability.
Final project for my Database Design course at Northeastern. A simple web application that allows users to filter through a database containing Lonely Planet's Top 500 Travel Destinations. Users are able to add themselves as visitors as well as leave reviews of the destinations.
Small React project created during an interview process to browse and search surf videos via the YouTube API.
A minimal, dark theme for Sublime Text, Atom, VS Code, and more published to Package Control, Atom Package Manager, Visual Studio Marketplace, and NPM.
Final project for my Database Design course at Northeastern. A simple web application that allows users to filter through a database containing Lonely Planet's Top 500 Travel Destinations. Users are able to add themselves as visitors as well as leave reviews of the destinations.
Final project for my Database Design course at Northeastern. A simple web application that allows users to filter through a database containing Lonely Planet's Top 500 Travel Destinations. Users are able to add themselves as visitors as well as leave reviews of the destinations.