Data-Analytics-Portfolio

DiviTrack: Intelligent Dividend & Tax Auditor

DiviTrack is a specialized analytics dashboard built for Indian investors to track dividend income and automate tax liability estimations.

Unlike standard portfolio trackers, it features a Compliance Engine that automatically applies Indian Tax Deducted at Source (TDS) logic (Section 194) and allows investors to toggle between Calendar Year (performance view) and Financial Year (tax filing view).

🔗 Live Demo: [https://data-analytics-portfolio-dejuau9q8zexweqq39pxe2.streamlit.app/]

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Key Features

• Auto-TDS Compliance Engine:
  • Automatically detects if aggregate dividends from a single company exceed ₹5,000 in a Financial Year.
  • Applies 10% TDS only to eligible transactions, removing manual guesswork.
• "Time Machine" Architecture:
  • Dual-Timeline Support: Instantly switch between Calendar Year (Jan-Dec) and Financial Year (Apr-Mar) without reloading data.
  • Quarterly Drill-Down: Filter by specific quarters (e.g., Q3 FY24-25) to audit granular earnings.
• Asset Support:
  • Supports Stocks, REITs, and InvITs (e.g., Embassy, PowerGrid InvIT).
  • Real-time data fetching via Yahoo Finance API with intelligent caching to prevent rate limits.
• Privacy-First:
  • Zero-Database: All data is processed locally in RAM (Session State).
  • No Storage: Closing the tab wipes all portfolio data instantly.

Tech Stack

• Frontend: Streamlit
• Financial Data: yfinance (Yahoo Finance API)
• Data Processing: Pandas & NumPy
• Caching: Streamlit Native Caching (TTL)

How to Run Locally

1. Clone the repository:

   git clone [https://github.com/yourusername/Data-Analytics-Portfolio.git](https://github.com/yourusername/Data-Analytics-Portfolio.git)

2. Install dependencies:

   pip install streamlit yfinance pandas

3. Run the app:

   streamlit run app.py

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Disclaimer: This tool is for estimation purposes only. Please verify all data with your Form 26AS. Linkedin: https://www.linkedin.com/in/kevin-joseph-in/