About
I’m Rishab Panwar — a Data Science student at IIT Madras passionate about building AI-powered products and scalable ML systems.
Education
Indian Institute of Technology Madras — Chennai, India BS – Data Science and Applications | GPA: 9.08/10 | Jan 2022 – May 2026
Coursework: ML Ops, Mathematical Foundations of Generative AI, Deep Learning Practice, Software Engineering, Large Language Models, AI: Search Methods for Problem Solving, Machine Learning Practice, Machine Learning Techniques
Experience
Teaching Assistant – Statistics for Data Science 1 (Oct 2023 – Jan 2024) IIT Madras
- Conducted 6 sessions per week for 120+ undergraduate students, building key concepts in probability, distributions, and inferential statistics.
- Answered daily student queries on the Discourse forum and simplified complex topics through real-world examples and guided problem-solving.
Course Mentor – Statistics for Data Science 1 (Sep 2023 – Jan 2024) IIT Madras
- Provided one-on-one mentorship 3 times per week, offering academic guidance, conceptual support, and personalized study strategies.
- Shared curated learning resources, exam tips, and best practices for Python and Excel.
Publications & Conferences
- [C] From Sensors to Decisions: A Narrative Review of IoT and Machine Learning for Precision Irrigation under Climate Stress, 2026. Rishab Panwar, Subhrajit Mandal, Anuska K Sharma, Anamika Yadav.
- [P] Smart Water Management for SDG 6: A Review of AI and IoT-Enabled Solutions. Subhrajit Mandal, Anamika Yadav, Rishab Panwar, Sm Shravan Kumar, Alagar Karthick, ArunKumar Priya, R Vijayakumar, Sundaram Sankar Ganesh.
- [S] Smart Emerging Technologies for Biomass to Bioenergy: Current Trends and Sustainable Energy Frontiers. Subhrajit Mandal, Rishab Panwar.
(C = Conference, P = Published, S = In Submission)
Achievements
- Best Course Project Award — Secured Rank 3 for outstanding project performance in the Software Engineering course. (2026)
- Research Paper Presenter — Presented “From Sensor to Decisions: A Narrative Review of IoT and Machine Learning” at the National Conference on Sustainable Water. (2026)
- Top 1% Performer – NPTEL — Awarded Elite Top 1% Certificate in Soft Skill Development. (2025)
- NPTEL Silver Medalist — Silver Medal in Business Analytics & Text Mining Modeling using Python. (2025)
- NPTEL Silver Medalist — Silver Medal in Soft Skill Development. (2025)
- Teaching Assistant — Served as TA for Statistics for Data Science 1. (2023–24)
- Course Mentor — Mentored students for Statistics for Data Science 1 across two academic terms. (2023–24)
Technical Skills
Languages: Python, SQL, JavaScript, Bash
Frameworks / Libraries: PyTorch, TensorFlow, Scikit-learn, Keras, HuggingFace Transformers, LangChain, LangGraph, FastAPI, n8n
Cloud / Technologies: MLflow, DVC, GitHub Actions, Docker, Kubernetes (AWS EKS), GCP, Vertex AI, AWS (ECR, S3), AstraDB, ChromaDB, Git