At IES IPS Academy, I’m pursuing a B.Tech in Computer Science (Data Science) and applying what I learn to projects with real-world datasets. For my Credit Card Fraud Detection & Transaction Analysis project, I compared classification models and selected XGBoost, then deployed it as a Streamlit app and created a Power BI dashboard.
In my Bank Customer Churn Prediction project, I analyzed customer records, compared classification models, and deployed a Random Forest model in an interactive Streamlit app. I also built a Power BI dashboard for churn monitoring.
I built an AI Underwater Image Enhancer using a U-Net model and the paired EUVP dataset, then deployed a Streamlit dashboard for image comparisons and quality metrics. As a Python Intern in the Skill Development & Internship Program at SGSITS, Indore (in association with Impetus Technologies), I learned Python programming and built small-scale applications during a guided project.
