Automated-Time-Sheet-Completer - Python
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🎓 FSC Professor Ratings Scraper - Python
FSC Professor Ratings Scraper — Developed an automated data extraction tool that collects professor ratings, reviews, and difficulty metrics for Farmingdale State College, enabling students to analyze instructor quality efficiently. The scraper programmatically retrieves structured academic feedback data, processes it into usable formats, and eliminates manual searching across rating platforms.
Automated professor-rating tools can extract quality scores, difficulty levels, and review counts from public sources, allowing students to compare instructors quickly and make informed course decisions.Â
Backend: Python · Web Scraping · Automation
Parsing: BeautifulSoup · Regex
Data: CSV / JSON · Pandas
Purpose: Academic Data Analysis
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Budgeting Application (Java)
Built a Java-based budgeting application implementing OOP principles and MVC architecture to manage expenses, categorize transactions, and generate financial summaries using structured data storage and dynamic calculations.
🛠Tech Stack: Backend: Java · OOP · Collections Framework
UI: JavaFX / Swing
Data: File I/O · JDBC · SQLite
Architecture: MVC
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Automated Time Sheet Completer
Built an automation system using Python and Selenium to auto-fill and submit timesheets across web portals. Integrated REST APIs with JSON processing for data sync and validation, and developed supporting services in Node.js for workflow orchestration. Containerized with Docker and implemented CI/CD via GitHub Actions for reliable, repeatable deployments.
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