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My Projects

Project type

Real-time Data Analytics and Visualization

Project type

Data Analytics and Visualization

I design and build data-driven applications and analytics systems that bridge the gap between business strategy and technical execution. My projects span business intelligence dashboards, Python-based ETL pipelines, API integrations, and automation tools — all focused on transforming complex data into actionable insight. From Power BI models to full-stack desktop applications with live web scraping and database automation, I create solutions that are both technically robust and visually intuitive.

How it works:


Users enter key search details — Release Year, Manufacturer, Set Name, Player/Character, Card Name, and Parallel/Variation — into an intuitive desktop form. The application then launches a headless Selenium session to search 130point.com, scrape all paginated sales data (price, sale type, date, and image), and store the results in a structured Access database. Each search is logged in a dedicated SearchInputs table for auditability, while the sales table (CardSales) uses unique image URLs as primary keys to prevent duplicate entries.

Key features:

  • Modern PySide6 interface with real-time progress bar and status feedback

  • Robust multi-page web scraping with timeout handling and retry logic

  • Automatic database table creation and duplicate prevention

  • Persistent search history tracking for repeat analysis

  • Batch search workflow — users can run multiple searches consecutively

Tech Stack:
Python, PySide6 (Qt), Selenium WebDriver, pandas, pyodbc, Microsoft Access, tqdm

NBA Shot Tracker

This project involved developing a custom Python script to extract player performance data from the official NBA Stats website. The collected data was organized within a Microsoft Access database and then imported into Power BI for visualization. A custom Python visual was built within Power BI to display each player’s made and missed shots throughout the NBA season, providing an interactive and data-driven view of player shooting performance.

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