Yunyi Chen

• Software: R, Python, Tableau, MySQL, Excel (Advanced Formula, VBA), Word, PowerPoint
• Data Analytics Skills: Data Visualization, Classification, Clustering, Regression, Time Series Analysis
• Python Data Analytics Packages: Numpy, Seaborn, Pandas, Matplotlib, SciPy, Scikit-Learn
• Certificates: Google Data Analytics, SAS Certified Professional: Advanced Programming Using SAS 9.4, FRM (Level I Passed)

Business Analyst                              May 2023 - Aug 2023

KPMG

• Performed user research and analyzed user feedback across 4 departments to translate user requirements into functional specifications of CRM system development based on Microsoft Dynamics 365 for data monitoring and management
• Crafted Prototypes for 3 Function Modules using Axure Rp 9 to ensure synchronized communication between business stakeholders and the technical team 
• Conducted User Acceptance Testing (UAT) with 300 testing cases and testing plans to validate that the system met business requirements and user needs, addressing and resolving any identified issues for a seamless user experience
• Employed data insights from user surveys post-CRM launch to pinpoint inefficiencies and collaborated with developers to complete version update

Teaching Assistant of Data Analytics Courses  Jan 2023 – Apr 2023

University of Toronto Scarborough

• Conducted tutorials and post-class Q&A sessions for over 100 students on topics of data analysis, visualization and statistical analysis using R

Data Analyst                                 Oct 2021 – Dec 2021                                                                                      China Chengxin Indices (CCXIndices)

• Utilized Python coupled with numpy, pandas and seaborn to automate data-cleaning workflows, ensuring data integrity for subsequent analysis 
• Deployed statistical analysis techniques on financial report data spanning 30 industries, extracting industry-specific insights for market trends and assessed the profitability and stability of return with Python and Tableau
• Built a back-testing module to track portfolio performance and trends against the market index using performance metrics and risk indicators

University of Hong Kong Master of Finance in FinTech                                                    Jul 2025

• Courses: Financial Programming and Database (Python and SQL), Machine Learning and AI, Cryptocurrency and Blcokchain

University of Toronto Hon. B.Sc., Specialist Program in Statistics     Jun 2023

• Awards: Graduation with High Distinction, Dean’s List in 2020, 2021 & 2022, Deloitte CyberAce Hackathon (1stC runner-up)