I'm a 7th-semester Data Science student at Emerson University, currently working as an ML Intern. I build practical, end-to-end machine learning systems — from data preprocessing to deployment — with a focus on predictive modeling and behavioral analytics.

My Final Year Project, "An Intelligent E-Commerce Framework for Customer Retention and Loyalty Optimization using Ensemble Learning and Neural Networks," combines gradient-boosted ensembles with deep learning to solve real-world retention problems on the OLIST e-commerce dataset.

🎓 FYP — E-Commerce Retention Framework · 🟡 In Progress
Ensemble ML + ANN system with a BI dashboard, GUI preprocessing tool, and LLM-explained loyalty scoring — dataset upload, column mapping (9 OLIST tables), and relationship modeling in progress.

🤖 Analyst H — Data Analyst RAG Assistant · ✅ Complete
Conversational analytics assistant with a hybrid router: DuckDB Text-to-SQL for structured data, ChromaDB RAG for documents, Groq/Gemini LLMs, Plotly visuals, and PDF report export.

🕸️ Automated Web Scraping Pipeline · ✅ Complete
Modular ETL pipeline scraping ~1000 records, with cleaning, deduplication, CSV/SQLite storage, retries & logging.

📊 Customer Churn Analytics · ✅ Complete
End-to-end churn pipeline using SQLite, pandas & scikit-learn.

🖼️ AI Image Classification · ✅ Complete
AI-generated image detection.

Languages

Machine Learning & Data Science

Data, Cloud & Tools

Design