About

I’m a data scientist and analytics engineer with 5+ years of experience, including 3 at Shopify, where I built reporting systems and analytics used by executives and cross-functional teams.

Today, I help growing businesses cut wasted ad spend, streamline reporting, and unlock efficiency with AI. My focus is always on ROI — making sure every dollar and every hour works harder.

I work with modern analytics tools (Looker, Power BI, Tableau, Google BigQuery, dbt, Airflow) to design scalable data pipelines, automated dashboards, and actionable insights.

Experience

Data Scientist, Shopify

Toronto, Canada2022 - 2025- Designed and implemented end-to-end analytics solutions for product teams using dbt, pyspark, BigQuery, Python, SQL, git, Looker, Mode, Airflow, and Google suite.- Used analytics to help grow Shopify Flow active users by 10x over 2 years.- Designed, implemented, and maintained reporting for Shopify App Bridge, reporting on over 1 billion API calls per week.

Data Scientist, MaxSold

Toronto, Canada2021-2022- Designed and tested a new bidding step wise function which improved average item value by $5 (+16%), roughly translating to a revenue increase of $6M in 2022.- Automated data collection using Python.- Forecasted labour requirements using time series forecasting techniques to reduce time to auction.- Used factorial experiments to optimize revenue and decrease marketing spend between Google, Facebook, Youtube, and radio - Experience in Python, R, SQL, Git, HTML, CSS, PowerBI, and Google Suite.

Full Stack Developer, Rhombus Power, Inc.

Kingston, Canada2020-2021- Building web applications with large datasets - Experience with PHP, Python, MySQL, JavaScript, CodeIgniter, Apache, Linux, AWS EC2, git- Data visualization (Highcharts.js, Mapbox.js, Leaflet.js, Datatables.js, Plotly, Matplotlib, Seaborn)- Web scraping and public data collection using python

Data Scientist, RAHousing

Kingston, Canada2019-2020- Automated data collection pipeline using PHP, Python, SQL, JavaScript, HTML, CSS, and PySpark.- Built machine learning models to predict rental prices in local Canadian markets with high accuracy.- Streamed data predictions to users using PHP and Codeigniter. - Built and deployed user facing web applications to report model results to users.

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