Phillip Lin's Projects

Explore data science and software engineering projects by Phillip Lin, Duke University Statistics student.

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Lin's Duke list

Data Visualization

A tool that scrapes Duke's course evaluations, and ranks courses and instructors to find the best (or easiest) courses. Leverages polychloric analysis and other statisitcal analysis to come up with a ranking system.

Technologies

TableauScrapyBusiness IntelligenceSQLPython

Key Achievements

✓Ranked courses and instructors based on student feedback
✓Utilized web scraping to gather course evaluation data

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Linked Automated Rescheduling System

Software Development

Built a GO Server with PostgreSQL to interface with FHIR Electronic Health Record systems and SMS services for automated patient cancellation handling.

Technologies

GoPostgreSQLFHIRSMS APIHealthcare

Key Achievements

✓Won 2nd Prize at HackDuke 2025
✓Automated patient cancellation workflow via text messaging
✓Integrated with FHIR Electronic Health Record systems

View Code

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ThinkMark: Code Documentation RAG Engine

Software Development

Created a OSS CLI for scraping and parsing code documentation with BeautifulSoup4 and an MCP tool to provide retrieval augmented generation for LLMs.

Technologies

PythonBeautifulSoup4RAGCLIMCP Protocol

Key Achievements

✓Won 2nd Prize at LlamaStack Hackathon
✓Integrated with Cursor, Claude, and other popular tools via MCP protocol
✓Automated documentation scraping and parsing

View Code

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Commercial Leasing Prediction Model

Data Visualization

Developed an XGBoost model to predict municipality-level changes in commercial real estate prices between quarters, with comprehensive data visualization.

Technologies

PythonXGBoostPandasScikit-LearnTableau

Key Achievements

✓Awarded winner for statistical analysis and data cleaning at DataFest 2025
✓Predicted municipality-level commercial real estate price changes
✓Comprehensive data cleaning and feature engineering