Expert Details

Expert in Data, Product and Growth

Expert ID: 738927 Texas, USA

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Expert is a technology executive with 10+ years of experience building and running data science/engineering teams for technology startups like Citizen (based in New York) and public companies like Tesla (based in SF Bay Area). He has a proven track record of extracting value from data and driving real business value. Most recently, he was the ˙Head of Data at Citizen where he built the data science function from scratch. Expert's team 4xed MAU and bootstrapped revenue from 0 to 16M ARR in < 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.

Top skills: product analytics, product strategy, capital allocation


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
Ran a growth data science team, supporting the following functions: product, marketing, expansion, policy, and operations. In addition to supporting other functions, his team directly ran 5+ weekly growth and revenue-increasing experiments (pricing tests, onboarding experiments, feature launches, etc.)

Expert doubled the team size to 6 directs. His team helped set many OKRs for the entire company but directly owned several critical top-line growth and revenue OKRs.

Few wins from his team
- Tripled CTR, improved user retention by 5% abs
- Ran 20+ onboarding experiments that yielded $2M+ in incremental ARR
- Saved 350k / year in infra costs
- Kick-started ML personalization efforts to improve user retention (est. impact: 5-10% increase in retention)
Years Employer Title Department
Years: 2019 to 2021 Employer: Citizen Title: Data Scientist Department: Product / Engineering
Expert joined Citizen as its second Data Scientist. He helped 4X MAU, drove strategic discussions with board members around pricing + fundraising, and sharpened the team's product/growth thinking through a metrics-first lens.

- Made capital allocation decisions to fund or de-fund entire teams by comparing growth vs. revenue trade-offs
- Helped set OKRs 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 of 2020 within the product; increased DAU by 20% and lead to millions of users being more safe and informed
- Supported fundraising efforts by crafting our growth story from metrics pov (acquisition, activation, retention, virality)
Years Employer Title Department
Years: 2016 to 2019 Employer: Tesla Title: Senior Staff Data Scientist Department: Growth
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 + 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)
Years Employer Title Department
Years: 2015 to 2016 Employer: University of Waterloo Title: Research Lead Department:
Content-based techniques for medical image retrieval. Techniques used: stacked autoencoders (deep learning), LSH / k-NN, various classifiers (SVM, random forests, etc.), and domain heuristics.
Years Employer Title Department
Years: 2014 to 2016 Employer: Virtual Power Systems Title: Senior Software Engineer Department: Engineering
Domain modeling, API design, reactive backend services (user management & auth, time series, biz logic), devOps (scala, docker, kafka, akka, elasticsearch, mongo)

Co-­developed datacenter simulator (akka). Benefits: more robust, exhaustive & cheaper testing; also what­if scenarios

Co-­developed power optimization algorithms (core IP) which can reduce the total cost of ownership of datacenters by up to 50%; developed L1 regression models to calibrate current/voltage sensors
Years Employer Title Department
Years: 2013 to 2014 Employer: Reflektion Title: Lead Product Engineer Department: Engineering
Lead Reflektion’s search and relevance team of four engineers (reported directly to Chief Data Scientist); deployed new product to customers such as

Designed and implemented Reflektion’s search product (api, backend services); increased customer engagement by 70% and increased conversion for our customers by 26% (python, pyramid, elasticsearch, pig)

Developed new ranking techniques combining pCTR (logistic regression) and domain specific heuristics

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

Career Accomplishments

Publications and Patents Summary
1 publication

Fields of Expertise

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