Master of Management in Analytics
Jul 2026 – PresentMcGill University — Desautels Faculty of Management · Montreal, QC
SQL · Python · Machine Learning · NLP · LLMs · Optimization
I am a Master of Management in Analytics student at McGill University with experience in financial analysis, applied research, machine learning, optimization, and data-driven decision support. I am interested in using financial reasoning, statistical analysis, and technology to solve practical business problems and translate complex data into clear, decision-ready insights.
McGill University — Desautels Faculty of Management · Montreal, QC
McGill University — Business Analytics and Finance · Montreal, QC
GPA: 3.87/4.00; Robert Bruce Scholarship (2025); Dean's Honour List.
Relevant Coursework: Probability, Business Statistics, Data Handling and Coding for Analytics, and Optimization.
Nanyang Technological University — Nanyang Business School · Singapore
Exchange GPA: 4.72/5.00.
McGill University · Montreal, QC
Clean and analyze AI-generated conversations and survey responses in Python, apply structured coding and reliability checks, and support text-based measures for statistical analysis.
CITIC-Prudential Life Insurance Company Limited · Tianjin, China
Built Excel reimbursement ledgers and reconciled five years of enrollment records, flagging discrepancies, employee changes, and missing supporting materials.
McGill University — Integrated Management Student Fellowship · Montreal, QC
Studied corporate acquisitions, capital allocation, and managerial incentives, and standardized executive-level data collected from company filings and regulatory sources.
Compared LSTM, attention, and Transformer-based models for financial-text sentiment classification.
View on GitHub →Built an optimization tool that generates conflict-free schedules from timetable data and student preferences.
View on GitHub →Evaluated regression, tree-based, and boosting models to identify key drivers of short-term rental prices.
Combined Reddit sentiment with market data to study relationships with short-term Bitcoin returns.
Developed a launch-time classification model and used clustering to identify distinct project profiles.
Analyzed market, competitive, and cultural factors and developed strategic integration recommendations.
Python, SQL
Pandas, NumPy, PyTorch, NLTK, Matplotlib, Excel, Gurobi
Statistical Modeling, Machine Learning, Regression, Classification, NLP, Optimization
Mandarin (Native), English (Fluent), French (Intermediate)
I am interested in opportunities across finance, business analytics, and data analytics.