Built an automated financial data

Built an automated financial data pipeline covering approximately 2,400 NSE-listed stocks, transforming daily market data into structured analytics and client-ready reports.

Developed Python-based data collection and processing workflows using Yahoo Finance data, Pandas, and SQLite. Automated market snapshots, financial metric calculations, and formatted Excel/CSV report generation.

Implemented scheduled GitHub Actions workflows to orchestrate data collection, report generation, Google Drive uploads, and automated email delivery. Added retry mechanisms, delivery monitoring, and a Next.js dashboard to make market information and pipeline status accessible.

Key capabilities:

Automated data collection across approximately 2,400 NSE stocks.

Daily market snapshots and SQLite database management.

Financial data processing and reporting with Pandas.

Automated Excel and CSV report generation.

Google Drive integration and email-based report delivery.

Scheduled workflows, retries, and delivery verification.

Web-based financial data dashboard.