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Growth @ Perplexity
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Assessing your cultural and operational fit
Canadian data scientist turned AI product builder in Silicon Valley. Core competencies in analytics, applied machine learning, experimentation, product innovation, strategy, and UX design. Specialized expertise leading cross-functional growth teams (acquisition, conversion, activation, retention, resurrection, subscriptions) and AI/ML teams (generative AI, post-training, personalization, ranking, recommender systems, responsibility / safety).
University of California, Berkeley
Master's Degree, Data Science & Machine Learning
January 1, 2015 – Present
Ivey Business School at Western University
Bachelor's Degree, Honours Business Administration
January 1, 2013 – Present
Western University
Bachelor's Degree, Mechanical Engineering
January 1, 2013 – Present
Ashbury College
High School, IB Diploma
January 1, 2008 – Present
Perplexity
Product Lead, Growth & Premium Subscriptions
January 1, 2025 – January 1, 2025
San Francisco Bay Area
Character.AI
Head of Growth
January 1, 2024 – January 1, 2025
Menlo Park, California, United States
YouTube
Product Manager, Community & Discovery
January 1, 2021 – January 1, 2024
San Francisco Bay Area
The Athletic
Product Manager, Growth
January 1, 2019 – January 1, 2020
San Francisco, California
Airbnb
Data Science Lead
January 1, 2018 – January 1, 2019
San Francisco Bay Area
Data Scientist, Applied Machine Learning
January 1, 2018 – January 1, 2018
Menlo Park, CA
Senior Data Scientist, Growth & Ranking
May 1, 2016 – October 1, 2018
Menlo Park, CA
Castlight Health
Data Engineer
January 1, 2015 – January 1, 2016
San Francisco Bay Area
dentsu One
Quantitative Analyst (Paid Marketing)
January 1, 2013 – January 1, 2014
Toronto, Canada Area
Western University
Mechatronics Design Intern
January 1, 2013 – January 1, 2013
Upworthy
Machine Learning Engineer (Fellow)
January 1, 2013 – January 1, 2014
Ivey Business School at Western University
Public Policy Intern
January 1, 2012 – January 1, 2013
Surface Science Western
Robotics Engineering Intern, Nanotechnology
January 1, 2011 – January 1, 2011
Honeywell Aerospace
Business Development Intern
January 1, 2010 – January 1, 2011
Ottawa, Canada
Predicting The Next Pitch
May 1, 2015 – Present
Utilizing data from MLB's GameDay Servers, the team built supervised machine learning models to predict what pitch MLB pitchers would likely throw next, given the current game-state and their previous pitching behavior. Details are available on the Wordpress site, and a Twitter Bot (https://twitter.com/nextpitchbot) is used to show predictions for selected games.
Cultural Fit Analysis
The candidate has a diverse background spanning product management, data science, and engineering, with experience in both large corporations and early-stage growth companies. The project 'Predicting The Next Pitch' demonstrates personal initiative and application of machine learning. However, the target role is 'Data Analyst', which is a step down from their recent 'Product Lead' and 'Head of Growth' roles. While the candidate has strong data science experience, the recent career trajectory leans heavily into product leadership, which might indicate a mismatch for a pure data analyst role. The breadth of experience is high, but the direct alignment with a dedicated 'Data Analyst' role at a senior level is not explicitly clear from recent roles.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in cross-functional teams, strategic thinking in growth initiatives, and a results-oriented approach, indicating strong operational fit for roles requiring data-driven decision-making and product leadership. The descriptions suggest an ability to translate complex data insights into actionable product strategies.