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akarshankapoor7/ReadMe.md

Hi 👋, I'm Akarshan Kapoor

A passionate Data Analyst/ Scientist from India

Turning data into insights • Building ML systems • Exploring Generative AI


🌱 Currently Learning

Machine Learning • Deep Learning • Generative AI • RAG • LangChain • LangGraph • Agentic AI • Claude • CrewAI • Antigravity


👨‍💻 Portfolio

🔗 https://www.linkedin.com/in/akarshankapoor/


💬 Ask Me About

SQL • Python • Tableau • Power BI • ML • DL • NLP • LLMs • Generative AI • RAG • LangChain • LangGraph • Agentic AI • Claude • CrewAI • Antigravity


📫 Contact

📧 [email protected]


🤝 Connect With Me


🛠 Tech Stack

💻 Core


☁️ Cloud


🤖 Generative AI & LLM Stack


📊 GitHub Stats

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  1. Market_Research_crew-using-CrewAI Market_Research_crew-using-CrewAI Public

    An automated multi-agent system powered by CrewAI and Groq Llama 3.1 that performs deep market research on technical trends. It leverages collaborative AI agents to analyze complex data and generat…

    Python 1

  2. ChatBot-using-LangGraph ChatBot-using-LangGraph Public

    A LangGraph-powered chatbot project with Streamlit frontends, supporting both in-memory and SQLite-based conversation persistence, real-time streaming responses, and multi-session chat management.

    Jupyter Notebook 1

  3. E-Commerce-Website-Reviews-Sentiment-Analysis- E-Commerce-Website-Reviews-Sentiment-Analysis- Public

    Flipkart E-Commerce Reviews Sentiment Analysis examines customer reviews to gauge sentiment—positive, negative, or neutral. This helps Flipkart understand customer satisfaction, identify issues, an…

    Jupyter Notebook 1

  4. Comprehensive-ML-Project-on-Sales-Forcasting-using-Facebook-Prophet- Comprehensive-ML-Project-on-Sales-Forcasting-using-Facebook-Prophet- Public

    A comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality e…

    Jupyter Notebook 1

  5. Dynamic_Pricing_model_in-python Dynamic_Pricing_model_in-python Public

    Dynamic Ride Pricing App This is a Streamlit web application designed to implement a dynamic pricing model for ride-sharing platforms.

    Jupyter Notebook 1

  6. End-to-End-Churn-Analysis-Project-My-SQL-Power-BI-ML- End-to-End-Churn-Analysis-Project-My-SQL-Power-BI-ML- Public

    This project analyzes telecom customer churn using an ETL pipeline in SQL Server, Power BI dashboards, and a Random Forest model in Python. It identifies at-risk customers and key churn drivers. In…

    Jupyter Notebook 2