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timchen0326/README.md

Tim's GitHub Portfolio

πŸ‘‹ Welcome!
I'm Tim Chen, a senior undergraduate at the University of Toronto, pursuing an Honours Bachelor of Science in Mathematics (Probability & Statistics) with minors in Computer Science and Statistics. My passion lies in leveraging data to uncover insights and drive decision-making through advanced analytics and visualization.


🎯 About Me

With a strong foundation in mathematics and computer science, I specialize in data analysis and visualization, employing statistical techniques and modern tools to solve complex problems. My goal is to transform raw data into actionable insights that can shape impactful decisions.

Technical Proficiency

  • Programming Languages: Python, SQL, R, TypeScript, Java, C
  • Data Tools: Tableau, R Markdown, Quarto, Excel, Power BI
  • Technologies: Git, GitHub, RESTful APIs
  • Concepts: Data Cleaning, Statistical Analysis, Machine Learning, Data Visualization, Database Design

πŸ’Ό Professional Experience

Frontend Software Engineer Intern β€” MAYOHR

May 2024 – August 2024 | Taipei, Taiwan

  • Engineered data-driven features using TypeScript and RESTful APIs, enhancing usability for diverse users.
  • Designed and developed a high-traffic website, reducing resolution times by 30%.
  • Simulated and analyzed datasets with Python for testing, cutting integration bottlenecks by 25%.
  • Collaborated with cross-functional teams to improve data-access systems, boosting efficiency by 40%.

πŸ† Key Projects

  • Toronto Crime Analysis (R, Quarto): Developed an interactive report analyzing violent crime patterns using Bayesian logistic regression.
  • Forecasting 2024 U.S. Election (R, Quarto): Built a state-level regression model predicting Electoral College outcomes based on polling data.
  • Traffic Collisions in Toronto (Tableau): Visualized spatial and temporal collision data with interactive dashboards.
  • Toronto Shelter Trends (R, Quarto): Conducted a detailed analysis of shelter usage, highlighting seasonal demand spikes.
  • Bike Theft Analysis (R, R Markdown): Produced a report identifying high-risk areas and patterns for bike theft in Toronto.

🌟 Community Engagement

Events Executive β€” ROCSAUT, University of Toronto

April 2023 – March 2024

  • Organized and managed events for 250+ attendees, reducing costs by 15% while ensuring operational excellence.
  • Conducted Excel-based analyses to streamline logistics, boosting efficiency and minimizing risks.
  • Demonstrated strong leadership in high-pressure environments, ensuring seamless execution of events.

πŸš€ Let's Connect!

Explore my work on my portfolio website or check out my GitHub for projects and code samples. Connect with me on LinkedIn for collaboration opportunities!

πŸ“§ Email: [email protected]
πŸ“ž Phone: +1-778-323-4326

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