CDCommercial Performance Analyst

Aspiring professional building practical skills

I am preparing to launch my career by learning tools, building projects, and gaining hands-on experience.

Work samples

A collection of personal and practice projects that demonstrate what I can build and the skills I am developing.

AML Model Development | Scotiabank Case Competition
AML Model Development | Scotiabank Case Competition
Designed an end-to-end AML detection pipeline on transaction-level data using Logistic Regression and XGBoost, achieving a 25% increase in suspicious activity capture rate compared to baseline model while balancing detection sensitivity and false positive alerts. Conducted exploratory analysis to assess data quality, transaction patterns, and high-risk behavior, informing feature engineering and model selection under severe class imbalance. Applied model interpretability techniques (SHAP) to explain model decisions, support regulatory compliance, and enhance model transparency
Logistic RegressionXGBoostSHAP
Analyst | Deloitte (University of Toronto Industry Project)
Analyst | Deloitte (University of Toronto Industry Project)
Developed a benchmarking framework for Deloitte’s Canadian Supply Chain Performance initiative, helping structure KPI comparisons and performance evaluation across Canadian supply chains. Collaborated directly with Deloitte’s Supply Chain & Network Operations team to align analytical objectives with client needs, leveraging PCA for dimensionality reduction and K-means clustering to generate actionable performance insights and recommendations
PCAK-means

About me

I am preparing to launch my career by learning tools, building projects, and gaining hands-on experience.

I'm C D. I have limited formal work experience and I'm preparing to start my career. I focus on learning practical skills, building sample projects, and exploring roles where I can contribute while gaining experience.

Experience

Commercial Performance Analyst

Glogou Inc. · January 2026 – present

Research Assistant – Data Scientist

Hydro One · January 2025 - April 2025

Data Scientist

Nestlé · September 2023 - August 2024

Data Analyst

Industrial Bank · May 2023 - August 2023

Data Analyst

HP Tech Ventures · August 2022 - October 2022

Education

University of Toronto

Master of Engineering | Data Analytics & Machine Learning

McMaster University

Honours Bachelor of Science | Mathematics & Statistics

Skills

Self-directed learningProject prototypingProblem solvingBasic tooling and workflows

Back to work

AML Model Development | Scotiabank Case Competition

Designed an end-to-end AML detection pipeline on transaction-level data using Logistic Regression and XGBoost, achieving a 25% increase in suspicious activity capture rate compared to baseline model while balancing detection sensitivity and false positive alerts. Conducted exploratory analysis to assess data quality, transaction patterns, and high-risk behavior, informing feature engineering and model selection under severe class imbalance. Applied model interpretability techniques (SHAP) to explain model decisions, support regulatory compliance, and enhance model transparency

Logistic RegressionXGBoostSHAP

View all work

Back to work

Analyst | Deloitte (University of Toronto Industry Project)

Developed a benchmarking framework for Deloitte’s Canadian Supply Chain Performance initiative, helping structure KPI comparisons and performance evaluation across Canadian supply chains. Collaborated directly with Deloitte’s Supply Chain & Network Operations team to align analytical objectives with client needs, leveraging PCA for dimensionality reduction and K-means clustering to generate actionable performance insights and recommendations

PCAK-means

View all work