Akshay Sharma
Creating fast, reliable, and data-driven solutions
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Developed an end-to-end Customer Churn Analysis project to identify customers who are likely to leave a company. The project combines SQL, Python, Pandas, and exploratory data analysis (EDA) to uncover business insights that can help improve customer retention and reduce churn.
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"This project is a Machine Learning API built using FastAPI and Scikit-learn. I trained a Random Forest Regression model on the California Housing dataset to predict house prices. After preprocessing the data and training the model, I saved it using Joblib. Then I developed REST APIs with FastAPI that accept housing features as JSON input and return predicted prices in real time. I also used Pydantic for input validation and Swagger UI for API testing. This project helped me understand the complete machine learning workflow—from data preprocessing and model training to deployment and serving predictions through production-ready APIs."
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The Customer Behavior Dashboard is an interactive Power BI dashboard designed to analyze customer purchasing patterns, revenue, sales performance, and customer demographics. It helps businesses understand customer behavior, identify high-performing product categories, and make data-driven decisions through dynamic visualizations and filters.
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Clarasta is a hyperlocal ed-tech platform that connects parents with verified B.Tech (http://B.Tech) college students for one-to-one home tutoring within their society or nearby locality. The goal is to make quality education affordable while giving college students flexible earning opportunities. I designed and developed the complete web application, including both the frontend and backend.
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