Expert Details
Data, Product and Growth
ID: 738927
Texas, USA
Most recently, as Head of Data, Expert built the data science function from scratch. Expert's team quadrupled monthly active users (MAU's) and bootstrapped revenue from 0 to 16M ARR in under 6 months. Before that, he led data initiatives at Tesla in partnership with the C-Suite. There, he built ML models that added $500M in incremental revenue for Tesla.
Expert's top skills include product analytics, product strategy, and capital allocation.
Education
| Year | Degree | Subject | Institution |
|---|---|---|---|
| Year: 2016 | Degree: Bachelors of Applied Science (Specialization in machine learning) | Subject: Systems Design Engineering | Institution: University of Waterloo |
Work History
| Years | Employer | Title | Department |
|---|---|---|---|
| Years: 2021 to 2022 | Employer: Citizen | Title: Head of Data | Department: Product / Engineering |
Responsibilities:Expert ran a growth data science team. He supports the following functions: product, marketing, expansion, policy, operations, and other related endeavors, his team directly ran 5+ weekly growth and revenue-increasing experiments. These included pricing tests, onboarding experiments, feature launches, and others.During this time, Expert doubled the team size to 6 directs. His team helped set many Objectives and Key Results (OKR's) for the entire company and also directly owned several critical top-line growth and revenue OKR's. Wins from Expert's team include the following: - Tripled click-through rate (CTR) - Improved user retention by 5% abs - Ran 20+ onboarding experiments that yielded $2M+ in incremental ARR - Saved $350k per year in infra costs - Kick-started ML personalization efforts to improve user retention (est. impact: 5-10% increase in retention) |
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| Years | Employer | Title | Department |
| Years: 2019 to 2021 | Employer: Citizen | Title: Data Scientist | Department: Product / Engineering |
Responsibilities:Expert joined this company as its second Data Scientist. He helped 4X MAU, drove strategic discussions with board members around pricing and fundraising, and sharpened the team's product and growth thinking through a metrics-first lens.Highlights - Made capital allocation decisions to fund or de-fund entire teams by comparing growth vs. revenue trade-offs - Helped set OKR's for the entire company for multiple quarters - Created a metrics architecture that allowed each person in the company to connect their work to concrete business impact (this drove employee engagement and ownership) - Pushed for COVID coverage in March 2020 within the product; increased DAU by 20% and lead to millions of users being more safe and informed - Supported fundraising efforts by crafting the company's growth story from a metrics perspective, including acquisition, activation, retention, and virality |
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| Years | Employer | Title | Department |
| Years: 2016 to 2019 | Employer: Tesla | Title: Senior Staff Data Scientist | Department: Growth |
Responsibilities:Expert built machine learning-based systems that drove millions in revenue, increased gross margins, and optimized efficiency by 10x across the org. Expert led high-performance teams and drove executive strategy to execute critical, high-profile business initiatives.Notable wins: 1) Saved $2M / year and drove⭡$500M / year in additional revenue (without an increase in sales spend) 2) Simplified supply chain so the factory can build 10% more cars and build the right cars that people want by forecasting demand (⭡Working capital + Gross margins) 3) Improved delivery experience by giving owners a better ETA of when their cars will be delivered (Better delivery experience ⭢ More referrals ⭢ More revenue with lower CAC) |
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| Years | Employer | Title | Department |
| Years: 2015 to 2016 | Employer: University of Waterloo | Title: Research Lead | Department: |
Responsibilities:Expert was responsible for content-based techniques for medical image retrieval. Techniques used included stacked autoencoders (deep learning), LSH / k-NN, various classifiers (SVM, random forests, and other related categories), and domain heuristics. |
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| Years | Employer | Title | Department |
| Years: 2014 to 2016 | Employer: Virtual Power Systems | Title: Senior Software Engineer | Department: Engineering |
Responsibilities:Expert's responsibilities included domain modeling, API design, reactive backend services (user management and authorization, time series, biz logic), devOps (e.g., scala, docker, kafka, akka, elasticsearch, and mongo).In this role, he co-developed datacenter simulator (akka). Benefits included more robust, exhaustive and cheaper testing, as well as numerous "what if" scenarios. Expert co-developed power optimization algorithms (core IP) which can reduce the total cost of ownership of datacenters by up to 50%. He also developed L1 regression models to calibrate current/voltage sensors. |
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| Years | Employer | Title | Department |
| Years: 2013 to 2014 | Employer: Reflektion | Title: Lead Product Engineer | Department: Engineering |
Responsibilities:Expert led this company's search and relevance team of four engineers. In this capacity, he reported directly to the Chief Data Scientist. He also deployed new products to customers such as Converse.com.Expert designed and implemented the company's search product (API and backend services); increased customer engagement by 70%; and increased conversion for our customers by 26% (python, pyramid, elasticsearch, pig and other applications. He developed new ranking techniques combining pCTR (logistic regression) and domain-specific heuristics. Expert designed a multivariate testing framework using a multi-armed bandit approach to optimize the CTR and overall engagement across over an arbitrary number of parameters. |
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Career Accomplishments
| Publications and Patents Summary |
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| Expert has one professional publication. |