About Lisa

Lisa Wan

Economics trained. Accounting focused.

Portrait of Lisa Wan

Education & CPA plan

Michigan Ross MAcc · Expected May 2027 CPA education plan: 150 total credit hours expected by May 2027

A Michigan Ross Master of Accounting candidate with an economics background and hands-on experience in audit support and research data.

At KPMG Huazhen LLP (KPMG China), Lisa vouched transactions and reconciled client-prepared Excel schedules to supporting records across two audit engagements, including an IPO audit for a digital-twin technology company. She tracked corporate information for 3,000+ companies and processed 28,000+ records in Excel. Her Python web-scraping workflow consolidated counterparty information and was adopted by the engagement manager and fellow interns to reduce repetitive manual lookups. At UT Austin’s Critical Data Studies Lab, she used OCR to digitize SIM-card text and numerical identifiers, standardized the extracted data, and entered records into the SIM Card Archive database for long-term preservation and research access. Her additional experience includes advising prospective students at Ivy Academy, organizing case files and reviewing supporting materials at Dentons, and providing administrative support at UT Austin. Through the Chinese Undergraduate Student Association, she also pitched sponsorship opportunities to external organizations for cultural events, including a Mid-Autumn Festival celebration.

Focus areas

  • Accounting and audit
  • Transaction vouching and reconciliation
  • Research data preparation
  • Python web scraping
  • Records and documentation

Education

Expected graduation · May 2027

Michigan Ross School of Business

Master of Accounting (MAcc), STEM-designated

CPA education plan: 150 total credit hours expected by May 2027.

Graduated · Dec 2025

The University of Texas at Austin

Bachelor’s Degree in Economics

Capabilities

Audit
Transaction vouching, reconciliation, supporting records
Data
Excel data preparation, Python web scraping, Stata, OCR tools
Research
Data digitization, standardization, archive records
Languages
Mandarin Chinese (native), English (fluent)

Conversation

Interested in working together?

wanlisa@umich.edu