Tanu Chauhan

Data / Machine Learning Engineer · Electronics & Telecommunication undergraduate

Pune, Maharashtra, India

@tanu

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🎓 B.E. Electronics and Telecommunication at Army Institute of Technology · Graduating 2028

About

Electronics & Telecommunication undergraduate focused on data analysis, machine learning, and applied AI tooling. Built end-to-end projects and participated in national-level hackathons, with interest in solving real-world problems through data-driven approaches.

Education

B.E. Electronics and Telecommunication

Army Institute of Technology

Electronics and Telecommunication · Jul 2024 – Jun 2028

Skills

Tools / apps / platforms

Canva 3 to 6 months
Jupyter Notebook 6 to 12 months
MySQL 3 to 6 months
VS Code 3 to 6 months

Projects

Image-Based Fashion Recommender

Python, PyTorch (ResNet), Streamlit

Built an image-to-image recommendation system that retrieves visually similar catalog items from an uploaded clothing photo. Used transfer learning to generate embeddings, rank matches by similarity, and provide an interactive Streamlit interface.
Graph-RAG — Three-Layer Knowledge Graph RAG System

Python, OpenAI API, NetworkX, Neo4j

Built a retrieval-augmented generation system that constructs a knowledge graph from unstructured documents. Implemented a three-layer architecture with LLM-based entity/relationship extraction, cross-layer entity linking, graph-traversal retrieval, and dual storage backends for local and persistent use.

🏆 Achievements & awards

Solved 200+ coding problems

Solved over 200 coding problems across various online platforms.
Zonal-level squash player

Recognized as a zonal-level squash player.
PMSS Scholarship

Awarded scholarship for academic excellence.
Finalist, FWC

Reached finalist stage in FWC.
Zonal-level athlete and marathon runner

Participated as a zonal-level athlete and marathon runner.
Contributor at SSOC

Contributed to SSOC.

⚽ Extracurricular activities

EV Club · Joint Secretary

Led a team of 30+ members, organized technical events, and contributed to hardware and EV-related projects.

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