Highlighted Projects
Explore a curated selection of my data science, machine learning, and software engineering projects. Each project demonstrates technical depth, practical problem-solving, and a focus on real-world impact.
Customer Churn Prediction
End-to-end Customer Churn Prediction System powered by a deep learning model (ANN) and wrapped it in a clean and interactive Streamlit web app—designed to be simple even for non-technical users.
GitHub Link
Dockerized FastAPI Iris Predictor
Built a production-ready backend service using FastAPI and Docker to predict Iris flower species from user input.
House Price Prediction
End-to-end ML pipeline: feature engineering on Bangalore real-estate data, model training (Decision Tree, Lasso, Linear Regression), hyperparameter tuning, and Flask API deployment.
GitHub Link
Road Accident Dashboard
Interactive Excel dashboard transforming 307K+ UK collision records into KPIs, trend analyses, and dynamic charts for data-driven road safety decisions.
View Dashboard
Optimizing Ads Spending with ML
Analyzed ad-spend vs. sales data; trained Random Forest, SVM, XGBoost (R²≈0.988); identified top channels to optimize marketing budget.
GitHub Link
Student Management System
Java Swing desktop app with MySQL backend for secure CRUD operations, schema design, and reporting—showcasing practical full-stack Java development.
LinkedIn Post
Iris Flower Classification
Complete ML pipeline: EDA, feature scaling, GridSearchCV tuning (KNN, SVM), and model evaluation with confusion matrix and decision boundary visuals.
GitHub Link
Portfolio Website
Responsive HTML/CSS/JS site with sticky navbar, mobile sidebar, and animated project cards—deployed to showcase work and skills.
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