- 🎓 AI student at St. Joseph's Institute of Technology
- 🐍 Interested in Python, data analysis, and machine learning
- 🧠 Exploring practical applications of Artificial Intelligence
- 💻 Practising DSA, algorithms, and problem solving
- 🌱 Learning by building projects and contributing to open source
- 🎯 Goal: become a Data Scientist
Learn consistently. Build useful things. Share what you learn.
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Machine learning workflow for customer churn analysis, including data cleaning, encoding, model training, and evaluation. Tools: Python · Pandas · scikit-learn · Matplotlib · Seaborn |
AI-powered resume analysis project designed to process resume content and return structured insights. Focus: AI workflows · LLM integration · Structured output |
Contributing through bug fixes, accessibility improvements, tests, and documentation/content updates.
- Fix Lithuanian number-first section marker detection — Merged
- Fix accessible names for POS quantity inputs — Merged
- Add adapter conformance suite — Merged
- Fix CheckerboardDataset noise rejection — Merged
- Add Japanese false-friend content — Merged
- Add Japanese cultural etiquette tip — Merged
| Difficulty | Solved |
|---|---|
| 🟢 Easy | 117 |
| 🟡 Medium | 11 |
| 🔴 Hard | 1 |
Topics: Arrays · Strings · Two Pointers
- 🏅 Oracle Certified Foundations Associate — Agentic AI
- 📘 NPTEL — Python for Data Science
- 🚀 30-Day LeetCode Challenge
- 🌱 Continuous learning in AI, data science, and software development
