Welcome to my GitHub! I’m an aspiring [Data Scientist / Analyst] on a mission to build skills, solve real problems, and learn out loud.

• 👨‍💻 Currently focused on: GenAI and PowerBI
• 🚀 Lifelong learner, excited about analytics and coding.
• 📚 Learning by doing: check out my Learning-Logs for daily/weekly practice.
• 🌱 Next up: Fine tuning Frontier and Open-Source models.

• Agentic Data Hub: An enterprise-grade, multi-agent data pipeline that dynamically routes natural language queries to specialized analytical engines. Built over the Brazilian Olist E-commerce dataset, this system orchestrates Text-to-SQL generation, Retrieval-Augmented Generation (RAG), and predictive machine learning models through a single, seamless conversational interface.
• Gradio Hybrid RAG Assistant: An advanced, production-grade Retrieval-Augmented Generation (RAG) system built to query and synthesize Gradio documentation. This project features a custom ingestion pipeline, a hybrid local/cloud architecture, and a rigorous LLM-as-a-Judge evaluation framework to mathematically prove factual accuracy.
• Bilingual Psychology Content Arena: Asynchronous LLM evaluation dashboard built with Gradio. It pits locally hosted, open-source Hugging Face models against frontier commercial APIs (OpenAI) in a side-by-side race to generate content.
• Multi-Modal AI Airline Assistant: This project let the user find live cheapest flights (from SerpAPI) given origin, destination and date, by chatting, read out replies from the assistant and generates a pop-art style image of destination city.
• Airline Booking AI Assistant with OpenAI API and OLLAMA API: This project integrates Python and MySQL DB to handle user queries about Airline Prices between different cities, using gradio chat interface.
• Automated ML Project Architect using OpenAI API: This simple project takes data in csv file and generates Markdown file with proposed data cleaning steps, model recommendations and feature descriptions.
• Fraud Detection Analysis EDA: This project analyzes fraud detection using Exploratory Data Analysis (EDA) with statistical hypothesis testing.
• Customer Churn Analysis EDA: Analyzes customer churn using Exploratory Data Analysis (EDA) with statistical hypothesis testing. It goes beyond visual exploration to validate findings using Chi-square tests and t-tests.
• Expense Tracker CLI: A robust, feature-rich, command-line interface (CLI) application for personal expense tracking, built with Python and MySQL.
• Phone-Book-Python: Text-based contact book built from scratch (functions, file I/O).
• Tic-Tac-Toe-Python: Classic CLI game, modular design.
• War (Simple Card Game): Classic CLI game, modular design.
• Black Jack: CLI Design, Using Classes and Modules.
• Learning-Logs: My open record of practice scripts, reflection, and mini-wins as I grow.

• Languages: Python (core, OOP, CLI), MySQL.
• Tools: Pycharm, Jupyter Notebooks, VS Code, MySQL Workbench.
• Interests: Data analysis, Data Science, Machine Learning, Deep Learning.

Always up for connecting with fellow learners, self-starters, or mentors!
Find me on LinkedIn. Let’s help each other grow.

Thanks for visiting! Every commit is one small step forward. 🚀