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akarshankapoor7/ReadMe.md

Hi 👋, I'm Akarshan Kapoor

A passionate Data Analyst from India

akarshankapoor7

  • 🌱 I’m currently exploring Machine Learning, Deep Learning & Generative AI

  • 👨‍💻 Check out all my projects and work on my LinkedIn profile

  • 💬 Feel free to ask me about SQL, Python, Tableau, Power BI, ML, DL, NLP, LLMs, and Generative AI

  • 📫 You can reach me at [email protected]

Connect with me:

akarshankapoor

Languages and Tools:

aws gcp mysql pandas postgresql python scikit_learn seaborn tensorflow streamlit langchain keras openai huggingface llama

akarshankapoor7

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  1. 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

  2. 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

  3. 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

  4. Time-Series_Analysis_using_python Time-Series_Analysis_using_python Public

    detailed and comprehensive time-series analysis using python (includes ARIMA and SARIMA)

    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