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I'm a Canadian-based Finance Graduate pursing CPA with a Passion for Developing Meaningful Ways of Understanding Uncertainty
Finance & Accounting professional and full-stack developer with 9+ years of portfolio management and trading experience across diverse investment instruments. Leverages advanced data science, AI implementation, and cybersecurity expertise to transform complex financial data into actionable investment strategies. Combines deep finance, accounting, and economics knowledge with technical proficiency to drive measurable results in traditional and emerging markets. Currently pursing PEP CPA with interest in CFA designations.
Technical Skills
ARGUS
Microsoft Suite & BI
Tableau
MATLAB
VBA
Simul8
Postgres & SQL
HTML/CSS
Solidity
Rust
javascript
R/Rstudio
Julia
Python
Sci-Kit
Jira
React
Education
Bachelor of Commerce Major in Finance
Minor in Economics
University of Alberta • Edmonton, AB • 2025
Minor in Economics
University of Alberta • Edmonton, AB • 2025
Bachelor of Commerce
MacEwan University • Edmonton, AB • 2021
MacEwan University • Edmonton, AB • 2021
Coursework
Financial Data Science
Energy & Resource Economics
Financial Reporting
Capital Investment & Restructuring
International Economics
Multivariate Data Analytics
Real Estate Finance & Underwriting
Food Market Pricing
Agricultural Economics
Trading, Markets & Commodity Analytics
Behavioural & Experimental Economics
Simulation & Computer Modeling
Cybersecurity
Economic Data Analytics
Real Estate Valuation & Asset Strategies
Experience
Gogentic.ai
Business Project Manager
Business Project Manager
June 2025 - Present
- Led cross-functional SaaS AI application development through a complete 12-week agile lifecycle, coordinating distributed teams to deliver MVP with high performance standards and strong user adoption.
- Orchestrated agile implementation across remote development teams, facilitating sprint planning and standups while maintaining consistent delivery timelines and reducing development cycle efficiency.
- Architected comprehensive technical product roadmap integrating machine learning pipelines, generative AI, and NLP capabilities, coordinating technical requirements across PyTorch/Langchain and cloud infrastructure platforms.
- Implemented containerized deployment strategies and CI/CD pipelines while establishing robust QA frameworks including automated testing and code review protocols, achieving significant cost optimization and substantially improving code quality standards.
- Executed financial modeling and go-to-market strategy development using SQL/Python analytics for ROI projections, contributing to enhanced lead generation and strategic decision-making.
Sherwin-Williams
Sales Specialist
Sales Specialist
September 2020 - January 2025
- Implemented an agile pricing optimization strategy, leveraging data-driven insights to drive 23% revenue growth.
- Designed a scalable financial modeling framework, securing $2.5M+ in high-retention deals through improved credit approval processes.
- Automated financial modeling to enhance credit approval forecasting, reducing approval turnaround times.
- Optimized vendor management and accounts receivable processes, improving cash flow by minimizing outstanding receivables.
- Achieved a 28% increase in operational efficiency, exceeding performance targets for three consecutive years.
- Conducted operational analyses to optimize resource allocation, drive project success, and inform business decisions.
- Applied FP&A methodologies with VBA & Python to optimize sales processes, leading to 93% customer satisfaction.
- Led two data-driven operational efficiency projects, improving vendor payment cycles and minimizing overdue balances.
- Mentored new team members, reducing training time by 18% and fostering a collaborative team environment.
- Developed and maintained key client & stakeholder relationships, driving retention and strategic growth.
- Led cross-functional process improvement initiatives, integrating retail billing systems to enhance digital marketing and stakeholder management.