💡 Data Scientist | ML Engineer | GenAI Innovator
🚀 I design end-to-end AI & Data pipelines, from raw datasets → insights → intelligent apps.
🎯 My goal: Deliver real-world impact with AI-powered solutions.
- 📊 Data Analysis & Visualization – Transform raw data into actionable insights with Python, Excel, Power BI, and R.
- 🤖 Machine Learning & GenAI – Build ML models, LLM-powered pipelines, and intelligent assistants with frameworks like Scikit-Learn, PyTorch, LangChain, Transformers.
- 🏗️ End-to-End Project Delivery – From data wrangling → model development → APIs → deployment using Flask, FastAPI, Streamlit, PyQT, Gradio.
- 📱 Professional UI Apps – Create modern dashboards and apps with React, Flutter, and Streamlit, integrating charts, graphs, and ML insights.
- RAG pipelines with local LLMs (Ollama + LangChain)
- AI-powered data visualization dashboards
- Deployment workflows (Docker, Hugging Face Spaces)
Languages & Analysis Tools:
Frameworks & Libraries:
App Development:
📌 WebMind AI – Intelligent Knowledge Assistant
🔹 RAG pipeline with SQLite + ChromaDB + LangChain + Hugging Face Transformers
🔹 Features: hybrid search, document Q&A, Docker deployment
📌 Student Performance Dashboard (Streamlit App)
🔹 Interactive dashboards with charts, forms, prediction models
🔹 Data collection + visualization + ML predictions in one place
📌 GenAI Movie Explainer
🔹 Processes YouTube/video files → LLM summaries → narrated explanations
🔹 Uses Whisper, MoviePy, Chroma embeddings for full pipeline
📌 LLM PaperSmith – AI Question Paper Generator
🔹 Flask + LangChain + Ollama with real-time streaming & collaborative workspace
🔹 Drag-and-drop paper assembly, PDF/Markdown export
📌 Financial Data Analytics with Power BI
🔹 Explored datasets to build dynamic dashboards
🔹 Highlighted key metrics: revenue, cost analysis, and market insights
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Most Used Skills 🐍 Python ██████████████████████ 45.6% 📊 Power BI ████████████ 28.3% 🗄️ SQL ██ 10.1% 🛠️ Others ██████ 16.0% |
