Portrait of Weiwei Xu

Weiwei Xu

McGill Desautels · Master of Management in Analytics

yzxuweiwei@gmail.com · LinkedIn · Montreal, Canada

I am a McGill University Master of Management in Analytics student with an undergraduate background in Statistics and Economics. I enjoy using data to turn complex business questions into clear, practical insights—from market research and financial modeling to forecasting and risk analysis.

Education

  • McGill UniversityMaster of Management in Analytics (MMA) · Current student
  • McGill UniversityUndergraduate studies: Double Major in Statistics and Economics · 2023–2026

Skills

PythonRExcelARIMA ModelingPCAFinancial ModelingMarket ResearchMandarinEnglish

Career Interests

Business Analysis, Investment Banking, International Finance, Risk Analytics, Quantitative Finance, and Data Science.

Industry Research · Shenzhen · 2025

Minsheng Securities Co., Ltd.

Industry Research Intern, Telecommunications Group

Estimated data-center market size using IT-load assumptions; built a GPU computing-center financial return model covering CAPEX, OPEX, cash flows, and payback period; and co-authored research on liquid-cooling technology and its Chinese market outlook.

Marketing Analysis · Changsha · 2023

Shenzhen Skyworth-RGB Electronics

Marketing Department Intern

Analyzed month-over-month and year-over-year regional market-share trends, identified mid-to-high-end market weaknesses, and compared Hisense and TCL to support product-positioning and promotional recommendations.

Machine Learning & Modeling · 2025

Financial Crisis Early-Warning System

Built a data-driven framework using U.S. leverage and credit-spread indicators. A standardized risk index and dynamic threshold identified elevated risk before the 2008 financial crisis.

Time Series Analysis · 2025

China GDP Forecasting, 1960–2024

Applied transformation, differencing, and ARIMA modeling to forecast annual GDP and communicate long-term growth trends and uncertainty.

Data Analysis · R

Olympic Medal Strength Index

Used principal component analysis to build a composite performance index from Olympic medal statistics, enabling clearer cross-country comparisons.