Headline

Data Science & ML Engineer | Python · SQL · Machine Learning · GenAI/LLMs | IIT Madras | Open to Full-Time Roles

About

I’m a Data Science student at IIT Madras with hands-on experience building and evaluating Machine Learning models, data pipelines, and AI-powered applications. My experience spans the end-to-end data science lifecycle — data cleaning, exploratory analysis, feature engineering, model training, evaluation, automation, and deployment. I primarily work with Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, and PyTorch, with additional experience in Docker, AWS, Flask, and Generative AI/LLM-based systems. Some of the projects I’ve worked on include: • Machine Learning-based malware detection using XGBoost and Random Forest • LLM-driven agentic automation for OCR, transcription, file processing, and web workflows • B2B sales analytics using 10,000+ rows of data to identify customer retention and margin opportunities • A full-stack Life Skills platform developed using user research, analytics, Vue.js, Flask, and Firebase I enjoy solving ambiguous problems with data and building practical ML/AI solutions that create measurable impact. Currently pursuing a B.S. in Data Science and Applications at IIT Madras (2026). Open to full-time opportunities in Data Science, Machine Learning, AI/GenAI, and Data Analytics across India and remote roles.

Location

Bengaluru

AI stack

claude code

codex

deepseek

gemini

github copilot

hugging face

Work experience

Data Science Intern at Institute of Data Engineering, Analytics and Science Foundation (ISI Kolkata), Jan 2026 - Feb 2026 · 2 mos, Kolkata, West Bengal, India, • Built an end-to-end image classification pipeline using data augmentation and ML preprocessing, reducing model training time through optimized workflows. • Implemented full ML lifecycle (data prep → training → evaluation) on real-world datasets, achieving production-ready model outputs within a 2-month sprint. • Gained applied exposure to LLM-based architectures, bridging foundational ML with emerging GenAI systems.

Frontend Developer – Life Skills App (Academic Project) at IIT Madras – BSc in Data Science & Applications, Apr 2025 - Aug 2025 · 5 mos, Remote or Chennai, Tamil Nadu, India, • Designed and shipped a responsive Vue.js web app for 8–14 year-olds by conducting 10+ user interviews, translating insights into age-appropriate interactive modules. • Integrated frontend (Vue.js, HTML, CSS, JS) with a Flask + Firebase backend, delivering a seamless full-stack experience with zero reported integration bugs at launch. • Improved user engagement by mapping emotional intelligence and time-management goals to interactive learning flows, validated through iterative user testing.

Business Data Management Capstone – Macse Enterprises at IIT Madras – BSc in Data Science & Applications, Jan 2025 - Apr 2025 · 4 mos, Chennai, Tamil Nadu, India, • Analyzed 10,000+ rows of B2B sales data using Python (Pandas, Matplotlib) and Excel, uncovering key drivers of customer churn and low-margin segments. • Applied Pareto analysis and descriptive statistics to surface the top 20% of accounts driving 80% of revenue, directly informing retention strategy recommendations. • Delivered a stakeholder-ready data report with visualizations that highlighted actionable margin improvement levers for the sales team.

Education

Bachelor of Science - BS, Data Science and Applications, Indian Institute of Technology, Madras

Bachelor's Degree, Indian Institute of Technology, Madras

Public links

github: https://github.com/22F3000107

deepak-kumar-portfolio-showcase.lovable.app: https://deepak-kumar-portfolio-showcase.lovable.app/

youtube.com: https://youtube.com/@https://youtube.com/@deepakjaykar5001?si=5uFiLTLG5yAlUC3T