University of Waterloo

Finance x Technology

Student analyst building rigorous investment research, valuation models, risk frameworks, and decision-ready dashboards for finance, consulting, fintech, and asset management teams.

Analyst Snapshot

Research + Analytics

4

Featured finance projects

3

Valuation methods

95%

VaR confidence model

5

Tools across Python, Excel, R

Core Coverage Finance, Data, Strategy

Valuation

DCF, comparables, sensitivity tables, and investment memo writing.

Risk

VaR, scenario testing, downside protection, and exposure analysis.

Markets

Macro, real estate, rates, OECD data, and sector-level case work.

Dashboards

Python, pandas, Excel, Power Query, R, and executive reporting.

Selected Work

Project Portfolio

A recruiter-ready set of analytical work samples spanning investment research, risk management, macro strategy, and data visualization.

Risk Management

Risk Analysis Report

Portfolio downside analysis using VaR, volatility decomposition, sensitivity testing, and stress scenarios.

VaR Excel Python Sensitivity Analysis
View Project

Investment Banking

Stock Pitch: DCF Valuation

Equity research pitch with revenue build, margin assumptions, WACC, terminal value, and comparable trading analysis.

DCF Comps Excel Investment Memo
View Project

Consulting Case

Real Estate Investment Case Study

Market entry analysis using OECD indicators, rates, demographics, rental affordability, and cap rate sensitivity.

OECD Macro Real Estate Case Study
View Project

Data Analytics

Dashboard Project

Interactive performance dashboard translating transaction, market, and KPI data into concise executive views.

Python pandas Excel R
View Project

LinkedIn

Analytical finance profile with technical execution.

Relevant coursework includes corporate finance, accounting, statistics, data structures, econometrics, financial modeling, and business strategy.

View LinkedIn

Contact

Open to finance, fintech, and consulting internships.