Data Scientist with a heart for the Chicago tech industry. I'm the Lead Data Scientist with SpotHero, a company that makes life easier for the daily driver by allowing them to reserve their perfect parking spot on-demand in garages and lots and with valets. The data needs/use cases are immense, challenging, and fascinating. If you're interested in awesome opportunities in data science/engineering, I'd love to chat with you. Prior to SpotHero, I was the Insights Analyst with GrubHub, helping turn food facts into media content for the Public Relations/Marketing department and transforming diner and restaurant data into actionable initiatives within the organization. Also, I was a Data Scientist with Digital H2O, a SaaS startup focusing on providing descriptive and predictive water intelligence for the oil and gas industry. I hold a PhD in Physics from the University of Chicago, where I studied dark matter by looking for tiny bubbles in a chamber over a mile underground in an active nickel mine in Canada. As you do. I also hold an MS in Physics from the University of Chicago and a BS in Physics, Mathematics, and Astronomy from Drake University.

Lead Data Scientist @ From August 2015 to Present (5 months) Greater Chicago AreaData Scientist @ I was a Data Scientist working on developing production algorithms, forecasting methods, and logistics/planning optimizations for Digital H2O (acquired by Genscape), a SaaS startup providing descriptive and predictive water intelligence for oil & gas companies and their associated service providers. • Developed the individual well hydrocarbon production allocation algorithm, quantifying assets within the product -- Built a unique offering within the oilfield intelligence software space by utilizing data from a variety of sources to determine the most likely contributions each well makes to its member lease’s production -- Wrote unit tests within Python backend to provide QA during ETL and ensure complete data coverage • Created an industry-unique method to determine water production from individual well assets -- Collected water-to-hydrocarbon ratios from governmental filings and projected the trajectory of this ratio over time, giving an extremely accurate estimation of monthly water production • Eliminated lag in production data from delayed governmental filings by forecasting monthly hydrocarbon and water production values to present day and into the future (post-ETL, pre-production automated Python task) -- Utilized both Bayesian Markov Chain Monte Carlo (Python emcee) and ARIMA methods (R forecasting package through Python RPy) to project the trajectory of production values across a given time series -- Created an Information Criterion used to select a winning forecasting model on an individual well basis • Designed data-driven presentations (Tableau/PowerPoint) for the CEO to deliver at national conferences, resulting in multiple sales leads converting into site licenses From August 2014 to June 2015 (11 months) Greater Chicago AreaInsights Analyst @ I was the Data Scientist/Analyst aligned to the Public Relations group, supporting the analytics and reporting needs of the PR group and, to some extent, the broader Marketing Department and Strategy Team. • Co-created the News Bureau program – a PR initiative to generate gH data-intensive stories, providing insights to media/trade publications and establishing gH as the thought-leader in the industry -- Increased the data-driven story rate six-fold in 2013 compared to 2012, contributing to a near tripling of total media mentions of the gH brands, thus improving gH’s SEO value • Built efficiency maximization models for an experimental delivery product launch -- Optimized restaurant delivery boundaries using isochrone contours utilizing the Google Maps API to maximize delivery driver efficiency/cost by time of day -- Predicted future restaurant order volume (ARIMA) to intelligently plan for delivery driver staffing needs -- Built the economic model for this initiative to prove project profitability and sustainability • Generated the core content for an industry white paper, surveying the effects of delivery fees and minimums on revenue generation for both gH and our restaurant customers • Developed methods to indirectly identify and cluster previously unknown diner demographics (college students, office workers, hotel travelers, and more) From March 2013 to August 2014 (1 year 6 months) Greater Chicago AreaAdjunct Professor of Physics @ Developed curriculum and taught Electricity and Magnetism for upper-class biology majors From January 2013 to May 2013 (5 months) Greater Chicago AreaGraduate Research/Teaching Assistant @ Worked with advisor Juan Collar and the COUPP dark matter direct detection experiment • Collaborated on an experiment that set best-in-world dark matter limits • Characterized background rates and detector efficiencies by comparing (gigabyte-scale) experimental data with multi-interaction neutron scattering Monte Carlo simulations • Wrote real-time diagnostic software to monitor and control temperature and pressure settings of vital experimental components to ensure safe remote detector operation Taught for the Chicago Careers in Health Professions and the Department of Physics • Developed curriculum and taught the physics and chemistry sections for an MCAT prep course • Created and provided group facilitation for the inaugural Collaborative Learning in Physics discussion group for pre-med students working through the physics sequence • Over seven quarters, led discussion and lab sections for undergraduate physics courses ranging from introductory to senior-level From June 2004 to March 2012 (7 years 10 months) Greater Chicago AreaAssistant Options Trader @ • Built BI tools for senior trading staff, interfacing Excel/VBA to Bloomberg and in-house tools • Worked closely with traders and market-makers in an apprenticeship role • Participated in Susquehanna’s employee training program, offering trading desk experience, semiweekly mock trading classes, and coursework financial math From April 2007 to September 2008 (1 year 6 months)

Doctor of Philosophy (Ph.D.), Physics @ University of Chicago From 2004 to 2012 Master of Science (M.S.), Physics @ University of Chicago From 2004 to 2005 Bachelor of Science (B.S.), Physics, Mathematics, Astronomy @ Drake University From 2000 to 2004 Drew Fustin is skilled in: Physics, Statistics, Python, R, Matlab, Tableau, Microsoft Excel, MongoDB, SQL, d3.js, Data Visualization, Mathematical Modeling, Statistical Modeling, Mathematics, Data Mining