Filling-in your Data Strategy Gaps: 10 Reasons Why your Data Initiative will Fail and How to Get it Right the First Time (Q3)

Writing your First Testing Suite with pytest for your Machine Learning model (July 20)

Prioritized 40+ initiatives in collaboration with executives of major entertainment studio, based on product payoff, timeline to delivery and data availability

Oversaw all data science initiatives at pediatric hospital's Anesthesiology and Critical Care Medicine Department

Start-up advisor on data strategy, from pre-product to alpha release

Developed positive and negative KPIs to evaluate network connectivity for online gaming start-up

Built end-to-end near-real time recommendation engine for a social media start-up to improve social media engagement posts via ExtraTrees, and productionalized as an API via AWS SageMaker, Python and Docker

Operationalized subscription box experience to minimize customer churn for fashion start-up, by parsing price and color feedback in near-real time and delivered as an API via sanic, spacy and custom sklearn pipelines of OOP classes

Increased GPS accuracy by 15% for point-of-interest detection system in IoT mobile devices by leveraging Google API and Boosted Trees

Taught 500+ academic and industry professionals on best practices for productionalizing Machine Learning models by teaching a core graduate course at UCLA Statistics Department (2019), speaking at SoCal PyData (2018), SoCal Python (2018) and Big Data Day LA (2017)

Trained 600+ academic and industry professionals in Python, R, and various (other) topics in data science and software development

Juno's Flyby mission (2018) confirmed similarities between White Oval and the Great Red Spot on Jupiter, originally detected in 2012 by image compression algorithm developed for Ph.D. thesis