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ChanakyaSreeHarshaG/README.md

Hi there, I'm Chanakya Sree Harsha G 👋

Data Analyst  ·  Python  ·  SQL  ·  Power BI


Portfolio   Open to Work

👨‍💻 About Me

  • 📊 Aspiring Data Analyst passionate about turning raw data into clear, actionable insights
  • 🛠️ Building end-to-end analytics pipelines — from data wrangling to storytelling
  • 📍 Based in Hyderabad, India

🚀 Featured Projects

Project Description
🔄 Customer Churn Prediction End-to-end ML pipeline to predict customer churn
🗄️ SQL Data Warehouse Scalable data warehouse design and implementation

🛠️ Skills

       

📬 Let's Connect

   

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  1. SQl-Data_Warehouse_Project SQl-Data_Warehouse_Project Public

    SQL-based Data Warehouse built with Medallion Architecture (Bronze → Silver → Gold). Integrates CRM & ERP sources into a Star Schema for sales analytics.

    TSQL 1

  2. Social_Media_Ad_Campaign_Dashboard Social_Media_Ad_Campaign_Dashboard Public

    This project is an end‑to‑end Power BI marketing analytics solution for a simulated Meta ads environment, turning raw event‑level data into a star‑schema model and interactive dashboard that reveal…

  3. Financial-Performance-Intelligence-Dashboard Financial-Performance-Intelligence-Dashboard Public

    End-to-end Power BI project showcasing data modeling, DAX, KPI development, and financial performance analysis.

  4. customer_chrun_prediction customer_chrun_prediction Public

    End-to-end Customer Churn analytics pipeline built with Python, SQL Server & Power BI. Covers EDA, 10 SQL business questions, and an interactive dashboard to identify at-risk customers and drive re…

    Jupyter Notebook

  5. EDA-data_warehouse_project- EDA-data_warehouse_project- Public

    A comprehensive collection of SQL scripts for Exploratory Data Analysis (EDA) and Advanced Analytics built on top of the SQL Data Warehouse Project. This project transforms clean Gold layer data in…

    TSQL

  6. Fake-News-Detection Fake-News-Detection Public

    An AI-powered misinformation detection system that analyzes news articles and predicts whether the content is real or fake using Natural Language Processing and Machine Learning techniques.

    Jupyter Notebook