Analytically driven professional with a strong background in data analysis, BI tools, machine learning, and generative AI. I build data pipelines, predictive models, dashboards, and AI-powered products that turn data into useful decisions.
🚀 Try my live Google Cloud AI Journal
- 🔭 Currently working on an AI Visibility tool
- 🌱 Currently learning RAG and Agentic AI
- 🤖 Exploring Generative AI and LLM benchmarking with Gemini, DeepSeek, Qwen, and Ollama
- 💬 Ask me about Python, SQL, Power BI, Machine Learning, and Generative AI
| Project | Stack | Description |
|---|---|---|
| Reflect.ai — Google Cloud AI Journal · Live app ↗ | React, TypeScript, Express, Firebase, Firestore, Gemini, Cloud Run | A private AI journal with streaming reflections, semantic memory search, voice journaling, mood insights, location tagging, and privacy-focused access controls. |
Google Cloud AI Journal: Open the running application · View the source code
| Project | Tools | Description |
|---|---|---|
| LLM Model Comparison | Python, Gemini 2.5 Flash, Qwen3, DeepSeek-R1 | Benchmarks multiple LLMs for response quality, token usage, and latency. |
| Local Chatbot App v1 | Python, Ollama, DeepSeek-R1, Qwen2.5, Gemma, Phi3 | A local chatbot application running open-source models through Ollama. |
| LLM Fine-Tuning — LoRA / QLoRA | Python, PEFT, LoRA, QLoRA, Phi-3 | Experiments with parameter-efficient fine-tuning techniques for language models. |
| Call Desk Agent | Python, LangGraph, LangChain, FAISS, BM25, Streamlit | Agentic call-center QA and customer-care agent with hybrid RAG policy search, call lookup, weighted QA scoring, order tracking, role-based routing, and conversation memory. |
| RAG Techniques | Python, RAG, LLMs | Notebook tutorials covering advanced techniques for retrieval-augmented generation systems. |
| Project | Tools | Description |
|---|---|---|
| Medical Cost Prediction | Python, Scikit-learn | Predicts patient treatment costs using regression models. |
| Manufacturing Data Analysis — ETL | Python, PostgreSQL, dbt, Power BI | Builds an ETL workflow and analyzes manufacturing data. |
| Telecom Customer Churn Prediction | Python, Scikit-learn, Pandas | Uses machine learning to identify customers at risk of churn. |
| Salary Prediction | Python, Scikit-learn, Pandas | Predicts individual salaries from demographic and professional attributes. |
| Movie Data Analysis | Python, Pandas, Seaborn | Exploratory analysis of relationships between movie budgets, revenue, and ratings. |
| Customer Retention Analysis | Python, Pandas | Cohort analysis to measure customer retention over time. |
| Project | Tools | Description |
|---|---|---|
| Sales Performance Analysis | SQL, CTEs, Window Functions | Sales analysis for Parch & Posey covering revenue channels, top representatives, and performance trends. |
| Project | Tools | Description |
|---|---|---|
| Energy Consumption Dashboard | Power BI | Tracks energy and water usage, emissions, and renewable generation trends. |
| Quality Analysis Dashboard | Power BI | Interactive dashboard for data quality analysis and insight extraction. |
Check out my Tableau Public profile 👉 here
- Customer Analysis · Sales Dashboard · Customer Churn Analysis · COVID-19 Analysis