Jason Fong Email & Phone Number

Toronto, On, Ca

Toronto, On, Ca

Toronto, Ontario, Ca

Leading Decision Science- Marketing Data Science- Product Data Science- Finance Data Science- Sales Data ScienceExperimentation PlatformData Warehouse & Data Infrastructure

Toronto, Ontario, Ca

- Building the Growth Data Science team- Building the Product Data Science team- Building the data warehouse, data infrastructure, experimentation platform, and data science craft

Ottawa, On, Ca

Led the marketing data science comprising of 12 data scientists. Owning end to end data science stack (analytics & business intelligence, experimentation, statistical analysis, machine learning, data pipeline & ETL).Some things we built to help Shopify grow from 200K merchants to over 1M+:- Algorithmic attribution model based on higher order markov chain. Implemented model at scale at the touchpoint grain (not channel) in PySpark.- Churn model that predicts lifetime risk of a merchant using neural net to predict Weibull distribution model parameters- Lead scoring model to predict expected trial conversions- End-to-end data pipeline for all web analytics event data as well as 3rd party advertising data- Data pipeline to scale up email experimentation- Geo experimentation, causal inference & counterfactual estimation to understand brand campaign effect on conversion- Detecting changes in signups using Bayesian switchpoint model

Ottawa, On, Ca

- Marketing & growth analytics- Campaign optimization (Search, Social, Video)- Segmentation and recommendation using unsupervised learning methods- Built lead scoring for Plus sales team using ensemble learning methods- Acquired data from 3rd party platform and modeled data in PySpark- Maintained and enhanced marketing data pipeline infrastructurePython, SQL, Tableau, Mode, Spark, Hadoop, Redshift, Presto

Vancouver, British Columbia, Ca

- Integrated offer recommendation in various TELUS inbound channels using machine intelligence and predictive analytics

Vancouver, British Columbia, Ca

- Drove national/regional pricing strategy for consumer mobility to reduce churn, increase ARPU and loads

Dublin 2, Ie

- Facilitated workshop sessions with client SMEs to design a multi-product recommendation engine - Assisted leadership team with implementation strategy and planning for M&A system integration

Manulife - Business Systems Analyst CIBC - Business Systems AnalystAmico Source - Software DeveloperGenX Solution - Technician