Explore my diverse portfolio of data science projects, where innovation meets analysis. Each project showcases my ability to transform complex data into actionable insights, driving meaningful impact across various domains.
ForecastX - Company Sales Prediction App
ForecastX is a complete MLOps pipeline designed to generate accurate sales forecasts. It ingests historical products(CSV/Excel) and delivers actionable predictions of future sales for individual customers. This solution enables businesses to proactively manage inventory, optimize marketing strategies and improve overall decision-making.
Customer Churn Prediction App
Customer Churn Prediction App is a comprehensive solution for predicting customer churn using a machine learning model, a FastAPI for serving predictions and a Streamlit app for a user-friendly interface.
Customer Segmentation App
Customer Segmentation App (for an insurance company) is an end-to-end machine learning application that uses clustering algorithms to segment customers based on their demographic, behavioral and policy data.This project includes a model training pipeline, a RESTful API powered by FastAPI and a user-friendly Streamlit web application.
Personalized Product Recommendation Engine
Product recommendation engine is a solution that leverages association rule mining algorithms to discover relationships between products purchased together and then exposes these recommendations via a FastAPI.