- 🎓 B.Tech Computer Science student at Jaypee University of Engineering and Technology, Guna
- 💼 Technical Coordinator @ Bitwise Club
- 🧪 Completed a Data Science internship @ Zidio Development Pvt. Ltd. — built RetailPulse, a retail analytics pipeline (RFM + K-Means segmentation, Prophet/LSTM demand forecasting)
- 🌱 Currently learning NLP and exploring semantic search (SBERT/FAISS)
- 💻 500+ problems solved on LeetCode (C++)
- 📫 Reach me: 0aamanpathak@gmail.com
Semantic similarity pipeline to detect duplicate questions at scale.
- SBERT embeddings + FAISS indexing over 533K unique questions (768-dim)
- FastAPI backend with multiple search endpoints, Next.js frontend with 3 search modes
- Started from a TF-IDF baseline (~75% accuracy, 0.84 ROC-AUC) before moving to embeddings
🔗 Repo: https://github.com/aman-pathak1
Production-style AutoML platform automating the ML workflow end-to-end.
- Automated preprocessing, feature engineering, multi-model training (CV-based), hyperparameter tuning
- React + FastAPI + Docker, deployed on Vercel and Hugging Face Spaces
🔗 Repo: https://github.com/aman-pathak1/ModelForge-Frontend
Retail analytics dashboard built from the internship project.
- Customer segmentation (RFM + K-Means), demand forecasting (Prophet + LSTM), ABC inventory optimization
- Streamlit Cloud deployment, 4-page dashboard with Plotly charts
🔗 Repo: https://github.com/aman-pathak1