Over 5 years of progressive experience in data science, analytics, and machine learning across fintech and professional services sectors. Proven track record of building production-ready models that deliver measurable business impact.
September 2025 - Present
Risk Modeller
Alberta Investment Management Corporation (AIMCo)
Developing, testing, and refining quantitative models to measure risk across multiple asset classes.
Developing automated workflows for risk analytics and reporting to improve efficiency and ensure data accuracy.
Researching on financial instruments and risk measures, and applying statistical analysis to assess model performance.
September 2024 - September 2025
Client Solutions Specialist
Neo Financial
Analyze customer interactions to uncover trends and recommend service enhancements.
Identified and resolved workflow inconsistencies, reducing tracking errors by 30% and improving data integrity.
Corrected flawed flagging procedures, eliminating recurring issues affecting 10–15% of flagged cases and improving compliance.
December 2022 - July 2024
Data Scientist
QuickCheck
Developed a machine learning model for credit scoring, leading to a 6% reduction in default rates.
Improved risk segmentation accuracy by 15% through targeted user clustering and predictive modeling.
Built a fraud detection model to flag fake emails, reducing fraudulent account creation by 20%.
September 2019 - November 2022
Associate, Analytics & Operations
KPMG
Developed a customer analytics platform featuring Recency, Frequency, and Monetary value (RFM) segmentation, churn prediction, and product recommendation models, improving customer targeting and retention strategies for financial institutions.
Leveraged R to develop IFRS 9–compliant Expected Credit Loss (ECL) models, achieving a 35% reduction in computation time and improving credit risk assessment accuracy.
Built financial derivatives valuation models in R, reducing processing time by 20% and enhancing operational efficiency.
