Hello, I'm

Yash Bhawar

Transforming raw data into intelligent solutions — from interactive dashboards and predictive models to AI-powered applications built with large language models.

View My Work ↓ GitHub →

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About Me

Building with Data & AI

👨‍💻

AI/ML Engineer & Data Analyst

I'm a passionate technologist who sits at the intersection of data analytics and artificial intelligence. I love turning complex datasets into clear, actionable insights through interactive dashboards, and building intelligent systems powered by machine learning and large language models.

Whether it's crafting a Power BI dashboard that tells a compelling data story, training a machine learning model to predict outcomes, or architecting an LLM-powered agent that understands natural language — I'm driven by the challenge of making data work smarter.

Python Power BI SQL Excel TensorFlow scikit-learn LangChain Streamlit Pandas MySQL Ollama Git

AI & LLM

Intelligent Agents & Applications

AI-powered applications leveraging large language models, agents, and conversational AI systems.

🤖

AI SQL Assistant

Local-first AI agent that translates natural language to MySQL queries using a 7B LLM via Ollama. Features a tiered safety framework with query classification, destructive query blocking, audit logging, and a Streamlit interface.

LangChain Ollama Streamlit MySQL Python

View Details GitHub →

🎟️

Museum Booking Chatbot

Local LLM based conversational chatbot for museum ticket booking. Built with a stateful LangGraph agent, database connection pooling, fuzzy-matching search, and deployed as a Flask API with Streamlit frontend.

LangGraph LLM Agent Flask Streamlit Python

View Details GitHub →

Machine Learning

Models & Predictions

Predictive models and ML pipelines solving real-world classification, regression, and NLP problems.

🎥

Movie Recommendation Site

Built a movie recommendation system using TFIDF vectorization on movie data to represent content features. Implemented cosine similarity to measure closeness between movies and generate top-N recommendations for users. Built a end-to-end ML project with efficient data preprocessing, feature engineering, and recommendation retrieval. Used Flask for the backend to integrate with the frontend site.

Regression Pandas Matplotlib Python

GitHub →

📑

Document AI

An advanced document intelligence platform that combines TensorFlow deep learning computer vision models with Local LLM-based RAG to parse, classify, enhance, summarize, and query complex PDF documents.

NLP TensorFlow NLTK Python

GitHub →

🔮

Customer Churn Predictor

End-to-end ML pipeline predicting customer churn with 92% accuracy using ensemble methods. Features EDA, feature engineering, hyperparameter tuning, and model interpretability with SHAP.

scikit-learn XGBoost SHAP Python

GitHub →

Data Analytics

Dashboards & Data Stories

Interactive dashboards and analytical deep-dives using Power BI, Excel, and SQL.

Sales Performance Dashboard

End-to-end Power BI dashboard analyzing regional sales trends, product performance, and revenue KPIs with interactive drill-down capabilities and dynamic filtering.

Power BI DAX SQL

GitHub→

Olympics Analysis Dashboard

An interactive Dashboard analyzing historical Olympic Games data spanning 1896–2016(120 years). The dashboard provides country-level insights into athlete participation, medal tallies, sport-wise performance, gender distribution, and age demographics, all dynamically filterable by country and year range.

Excel Power BI Data Modeling

GitHub →

Financial Reporting Model

Automated financial reporting pipeline built in Excel with dynamic pivot tables, variance analysis, and forecasting models for quarterly business reviews.

Excel VBA Financial Analysis

GitHub →

Get In Touch

Let's Build Something Together

I'm always open to discussing new projects, collaboration opportunities, or just chatting about AI and data. Feel free to reach out!

✉️ Email Me 💼 LinkedIn 🐙 GitHub