I combine a formal education in Statistics & Actuarial Mathematics with practical experience building analytics and ML solutions in production and experimental settings. At TELUS Digital I applied time-series forecasting and NLP techniques to improve monitoring and decision-making; at the Canadian Red Cross I automated reporting pipelines and developed Power BI dashboards to speed insights for stakeholders. My IBM mentorship and RBC program work sharpened my modeling, A/B testing and product-focused analytics skills.
Technically I’m comfortable across Python, R, SQL/NoSQL, Power BI, Tableau, Alteryx and cloud platforms (Azure / AWS / Snowflake). I emphasize reproducibility — clean pipelines, versioned code, and explainable models — so teams can adopt and extend my work without surprises. I also tutor and mentor, which helps me explain complex ideas simply and tailor deliverables to business users.
What sets me apart is the combination of statistical rigor, product awareness, and a track record of turning analysis into tangible business impact — from automating workflows that save time to dashboards and models that inform strategic decisions. I’m collaborative, deadline-oriented, and focused on delivering outcomes that matter.
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