Zihao Feng

Motivated Statistics and Data Science undergraduate at UCSB (GPA 3.7) with strong foundations in Python, R, SQL, and Tableau. Experienced in leading data-driven projects and presenting insights through clear visualizations. Bilingual in English and Chinese, with proven skills in teaching, event hosting, and community engagement. Seeking a data analysis internship to apply technical and analytical skills to real-world business challenges.

Used Car Market Data Research (Independent Project) — Ongoing

• Conducted comparative analysis between market-level used car datasets and survey data collected from UCSB students.
• Identified unique characteristics of the student car market, including pricing preferences, vehicle types, and ownership trends.
• Applied SQL for data extraction, Python & R for data cleaning/analysis, and Tableau for visualization to generate insights tailored to the college student demographic.

Diamond Market Data Analysis (Coursework)

• Conducted exploratory study on global diamond market datasets using Python and R.
• Applied statistical methods to identify factors influencing price fluctuations and demand.
• Presented findings through structured visualizations and an analytical report.

Blackjack Game Design Program (Coursework)

• Designed and implemented a simplified Blackjack (“21”) game in Python.
• Focused on algorithm logic, probability simulation, and user interaction design.
• Strengthened programming skills by integrating data structures, loops, and conditional logic into a complete program.