Summary
Work History
Education
Skills
Interested Positions
Projects
Websites
Skills
Coursework
Timeline
Generic

Runzhi Liu

San Diego

Summary

Data analyst intern at Avivant with expertise in Python and statistical analysis, delivering actionable insights. Developed visual reports that significantly improved stakeholder decision-making processes. Strong collaboration skills combined with a solid foundation in financial data processing and performance metrics, focused on driving business success through data-driven strategies.

Work History

Data Analyst Intern

avivant
Boston
06.2026 - 07.2026
  • Created visual reports using data visualization tools for stakeholder presentations.
  • Analyzed data sets to identify trends and patterns for business insights.
  • Collaborated with team members to develop analytical frameworks and methodologies.

Education

B.S. - Mathematics-Computer Science, Data Science

University of California, San Diego (UCSD)
9500 Gilman Drive, La Jolla, CA
01-2029

Skills

  • Data Visualization
  • Data Cleaning
  • Data Interpretation
  • Data Reporting
  • Data Querying
  • Excel
  • Python
  • Pandas
  • NumPy
  • R
  • SQL
  • MATLAB
  • Financial Statement Analysis
  • Break-even analysis
  • Time Value of Money
  • CAPM
  • DCF Model
  • Financial data processing
  • Performance metrics

Interested Positions

  • Finance Intern
  • Financial Analyst Intern
  • Business Analyst Intern

Projects

  • Business Simulation System (Python), Object-oriented financial and operational decision simulation, Business simulation model including costs, revenue, inventory, and profit., Incorporate demand and capacity to evaluate the pricing and staffing decision., Multi-rounds decision-making and the renewing of index variables., Break-even analysis and scenario-based evaluation is also applied.
  • Financial Data Analysis (Python), Build a python-based financial data processor to retrieve historical equity price using Yahoo Finance, Compute key performance and indexes including return, volatility, coefficient of variation, ROI of the investing portfolio., Perform a sector-based analysis on returns through grouping by equities across different fields., NumPy and Pandas incorporated to clean, query, and group the data, then perform the statistical computation.

Skills

Financial Statement Analysis, Foundational understanding of CAPM, CML, and Beta., Time Value of Money (DCF Model), Linear Algebra for Finance Modeling, Calculus-Based Optimization Concepts, Python (Pandas, NumPy), MATLAB, R, SQL, Java, Excel

Coursework

  • Financial Accounting
  • Accelerated Programming
  • Differential Equations
  • Data Science
  • Linear Algebra
  • Calculus

Timeline

Data Analyst Intern

avivant
06.2026 - 07.2026

B.S. - Mathematics-Computer Science, Data Science

University of California, San Diego (UCSD)
Runzhi Liu