Ryan Will Email & Phone Number

Menlo Park, Ca, Us

Austin, Texas, Us

• Senior data scientist for debit card company where my main goal is to develop tools and predictive models understand and attenuate enterprise-wide risk both internal and external • Design, implement, and analyze A/B experiments to optimize product performance while minimizing risk• Research and experiment with novel machine learning techniques to help identify and reduce fraud• Engineered and built a multiplatform software tool set to improve operations analytics and reporting• Create and maintain critical forecasting models for operations requirements and future financial losses • Mentor junior co-workers on statistical analysis, experimental design, and data processing/query optimization• Lead initiates to improve coding best practices within analytics group to improve code accessibility • Advise multiple business groups on experimental design, output metrics, and sample size requirements • Act as data science (analytics) subject matter for executive leadership team and business segment owners

Austin, Texas, Us

• Create algorithms to identify and reduce first party fraud; 15% reduction in overall fraud year to date• Designed a novel machine learning procedure to score all incoming debit card transactions in real time • Employ machine learning to address key problems such as identifying legitimate and illegitimate fraud claims with special focus on problem specific performance metrics• Developed 12-month forecasts for the entire risk ecosystem to better understand and respond to systemic shifts • Automated processes to build aggregated data sets to support self-sustaining dashboards• Build tools to discover new card holder behavior and emerging fraud trends• Presenting machine learning and model results to non-technical executives as well as create data visitations for a diverse business audience• Provide data-driven business recommendations to different departments to help minimize the risk associated with developing new product features• Extensive experience retrieving and cleaning natural data, as well as combining data from internal and external sources to build more accurate predictive models• Conducted experiments to optimize staffing as well as improve card holder experience following a fraudulent transaction

Austin, Tx, Us

•Designed and conducted experiments exploring neural basis of drug addiction and role the preoptic area of the hypothalamus plays in the behavioral response to cocaine•Analyzed behavioral, histological, genetic, longitudinal/repeated measures, and demographic data using a variety of statistical methods such as ANOVA, regression, mixed effects regression, logistic regression, survival analysis, and hierarchical clustering.•Taught myself R, Python, MATLAB, and SQL to more effectively interact with and analyze data I was collecting from my studies as well as to more efficiently ensure data integrity•Employed data mining and frequent pattern mining on high dimension survey data to uncover combinations of factors involved in addiction•Modeled large scale genetic data using a network approach•Mentored undergraduate students in scientific techniques and methods. •Developed and implemented program to automatically analyze and visualize sparse data sets•Developed and implemented protocols to enhance reproducibility and limit waste•Published 7 scientific manuscripts in peer reviewed journals •Aided lab mates in experimental design and the the analysis of experimental data. I also prepared the results sections and data visualizations for manuscripts of these studies.•Collaborated with lab mates to help develop optimal methods of graphical data presentation for larger complex data sets.• Presented results of experimental studies to peers at national and international conferences

Doctor Of Philosophy (Ph.D.), Psychology

Bachelor Of Science (Bs), Behavioral Neuroscience