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echandragrg/README.md

Hi there 👋

Welcome to my GitHub! I’m Chandra, passionate about turning raw data into meaningful insights that drive smarter decisions in finance and business.

  • 🔭 I’m currently working on finance-related data projects (portfolio trackers, stock analysis, automation).
  • 🌱 I’m currently learning advanced data science, cloud platforms (AWS/Azure/GCP), and data engineering pipelines.
  • 💬 Ask me about Python, Excel, PowerBI, Tableau, SQL, Data Analytics, Machine Learning, and Finance data projects.
  • 📫 How to reach me: LinkedIn | [email protected]
  • ⚡ Fun fact: I can spend hours analyzing datasets like others binge-watch Netflix 📊📈

🛠 Skills & Tools

Languages & Libraries: Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Data Visualization: Power BI, Tableau, Matplotlib, Seaborn
Data Engineering: ETL, Spark, Hadoop, Airflow, Data Warehousing
Business Tools: Excel, Jupyter, Stakeholder Analysis, Requirements Gathering
Cloud: AWS, Azure, GCP

🚀 Always learning, building, and sharing my journey in finance + data science!

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  1. gradebook gradebook Public

    Gradebook that tracks employee test scores across multiple training and evaluation areas

    1

  2. portfolio_excel_dashboard portfolio_excel_dashboard Public

    bike purchase behavior using customer demographic and lifestyle data

  3. portfolio_mysql_real_estate portfolio_mysql_real_estate Public

    the Australian real estate market using MySQL Workbench

  4. PortfolioProjects PortfolioProjects Public

    This project explores a Kaggle dataset of 16,000+ used and new cars in Australia. The goal is to clean, analyze, and build predictive models for car prices.

    Jupyter Notebook

  5. Crypto-Portfolio-Tracker Crypto-Portfolio-Tracker Public

    It fetches live crypto prices from the CoinMarketCap API and calculates profits/losses in real-time.

    Python 1

  6. web_scraping_with_stock web_scraping_with_stock Public

    automates fetching stock market data from Yahoo Finance and sending a daily report via email.

    Python 1