Data Professional Experience

BEN STRAATE

DATA SCIENTIST

San Francisco Bay Area, CA ac1s1p@r.postjobfree.com 510-***-****

bstraa.github.io linkedin.com/in/benstraate San Francisco Bay Area, CA SKILLS

Languages: Python (pandas, sci-kit learn), R, SQL, HTML Theoretical Knowledge: Machine Learning, Statistical Tests, Probability, Data Visualization PROFESSIONAL EXPERIENCE

CareSkore Sep 2016 – Dec 2016

Data Scientist (Intern) Mountain View, CA

CareSkore is a Y-Combinator startup focused on measuring and managing clinical risk on an ongoing basis in healthcare.

• Substantially reduced data processing times by automating data cleaning and merging.

• Greatly improved feature engineering pipeline performance by improving codebase.

• Drove actionable insights for machine learning models by performing and documenting exploratory data analysis.

• Created machine learning models to quantify risk for hospital patients. METIS Jan 2016 – Apr 2016

Data Science Fellow San Francisco, CA

Developed five real-world end-to-end data projects as a Fellow in a competitive data science immersive program:

• Analyzed MTA turnstile data using Pandas to determine peak traffic.

• Predicted gross revenues of movies using linear regression (statsmodels, sklearn).

• Classification of high-risk persons for heart disease using an ensemble of classification algorithms (sklearn).

• Classification of injury-related NBA injury tweets using natural language processing and Multinomial Naïve Bayes (sklearn).

• Clustered and visualized NBA player positions using k-means and D3.js. Poker Pro, Coach, and Co-founder Jun 2006 – Dec 2015 Poker is a mathematically solvable game which involves incomplete information and elements of statistical randomness, probability, and game theory. I was a top five online poker player and co-founder and producer of an online educational company which sold to poker legend Phil Ivey.

• Sparked and initiated discovery of the largest AI bot–ring (fraud) in online poker history.

• Achieved 10,000%+ ROI from a $300 initial deposit using risk management.

• Founded and sold LeggoPoker (now IveyLeague) – grew engaged player community and built world-class strategy videos.

• Developed deep and accurate understanding of hundreds of poker variables by researching and validating various hypothesis and striving for extremely detailed and logic-based evidence. Utilized PostgreSQL and poker calculators.

• Created game theoretic mathematical models to increase revenue based on derived insights. Created metrics and evaluations to verify them.

EDUCATION

• University of Wisconsin – Whitewater 2004-2007 – Candidate for B.S. in Accounting/Finance o Relevant Coursework: Calculus I, Calculus II, Introductory Statistics

• Statistical Foundations of Data Science & Machine Learning – Taught by Head of Data Science, Faraday Future

• Online Coursework (Caltech, Stanford, Georgia Tech, etc.) o Caltech – Learning From Data

o Coursera Machine Learning – Stanford Professor Andrew Ng o Khan Academy – Linear Algebra

o Udacity Data Analyst Nanodegree

o Udacity Inferential Statistics

o Udacity Machine Learning Nanodegree

o Udacity Self Driving Car Program (In Progress) – Georgia Tech

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