Calgary, AB | [email protected] | LinkedIn | GitHub | Portfolio

Data analyst with a physics degree and hands-on experience in business intelligence, statistical modeling, and AI-augmented development. Built fraud detection pipelines on 284K+ transactions, architected autonomous financial data systems, and shipped cross-platform applications - leveraging AI tooling (Claude Code, LLM APIs, prompt engineering) as a force multiplier throughout. Currently pursuing an MS in Data Science at CU Boulder. Combines quantitative rigor from physics with practical engineering skills to turn complex data into clear, actionable insights.

Education

Master of Science in Data Science (In Progress) University of Colorado Boulder | Mar 2026 - Present

Bachelor of Science - Physics University of Calgary | Sep 2018 - Apr 2022 Thesis: Vortex in a Corner; Anomalous Impact in Reaction-Diffusion Financial Models Relevant coursework: Data Analysis, Statistical Reasoning, Numerical Methods, Linear Algebra, Advanced Calculus, Systems Modeling, Experimental Design, Error Analysis

Experience

Business Intelligence Analyst Next Generation Graphics LTD (NGGL) | Remote (Singapore) | May 2022 - Jun 2023

• Designed and maintained analytical reports surfacing KPIs for cross-functional teams, translating raw data into actionable business insights that informed strategic decisions
• Wrote and optimized SQL queries across relational databases to extract, clean, and transform data for recurring and ad-hoc analysis
• Conducted exploratory data analysis in Jupyter notebooks to identify trends, patterns, and anomalies in business data
• Cleaned and analyzed large datasets using Python and MATLAB, improving data accuracy and reporting efficiency by 25%
• Built data visualizations in Excel and Python to communicate findings to non-technical stakeholders across international teams spanning multiple time zones

Online Supervisor Canadian Tire Corporation | Calgary, AB | Jul 2024 - Sep 2025

• Supervised a team of 11 associates across online order fulfillment, managing scheduling, quality assurance, and daily operations
• Raised order fulfillment rate from 90% to a sustained 98% average by identifying bottlenecks through metric tracking and implementing targeted process improvements
• Reduced repeat complaint rate from 21% to under 2% by resolving escalated customer issues and addressing root causes through structured problem-solving
• Standardized inventory practices, cutting stock discrepancies by 20% and boosting team productivity