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Alex Whitworth

Data Scientist

Data Scientist / Applied Scientist

Seattle, Washington, United States

Section title

Alex Whitworth's Email Addresses & Phone Numbers

Alex Whitworth's Work Experience

Dun & Bradstreet

Data Scientist

July 2015 to Present

Concord Music Group

Statistical Consultant

July 2014 to July 2015


Statistical Consultant

April 2014 to June 2015

Alex Whitworth's Education


Master of Science (MS) Statistics

2013 to 2015

Macalester College

BA Major in Economics Double Minor in Math and Statistics

2004 to 2008

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About Alex Whitworth's Current Company

Dun & Bradstreet

Frequently Asked Questions about Alex Whitworth

What company does Alex Whitworth work for?

Alex Whitworth works for Dun & Bradstreet

What is Alex Whitworth's role at Dun & Bradstreet?

Alex Whitworth is Data Scientist

What is Alex Whitworth's personal email address?

Alex Whitworth's personal email address is w****[email protected]

What is Alex Whitworth's business email address?

Alex Whitworth's business email addresses are not available

What is Alex Whitworth's Phone Number?

Alex Whitworth's phone (206) ***-*340

What industry does Alex Whitworth work in?

Alex Whitworth works in the Research industry.

Who are Alex Whitworth's colleagues?

Alex Whitworth's colleagues are Elizabeth Ming, Musa Kalenga, Yangyang Shi, Christopher Govern, Lior Neu-ner, Andrew Kulinich, Éden Júnior, Luiz Garcia, Laura Zaslavsky, and Guilherme Sampaio

About Alex Whitworth

📖 Summary

Alfred Whitehead said that the “aim of science is to seek the simplest explanation of complex facts.” In 5+ years of successfully tackling highly technical business problems, I have learned that dismantling complex challenges into easily understandable (and implementable) solutions is the key differentiator between a successful analytical project and inaction. - I thoroughly enjoy problem decomposition, research, and learning. - I love challenges: the more technical and difficult the better. - I have a proven track-record of successfully leading and contributing to analytical projects at all stages—from conceptualization to implementation. - I am a natural leader and have held leadership roles as: a TA, athletics coach, personal trainer, and as captain of both my high school and college soccer teams. - I don't care who gets credit. I just want our team to win. Specializations: - Machine learning, multivariate analysis / regression, generalized linear models, hierarchical Bayesian models, mixture models, and experimental design. - Data visualization, data reporting, predictive analytics, statistical modeling, predictive modeling, missing data problems, model-based clustering, optimization, parallel computing, and developing R code / packages (with and without C++/Rcpp). I am always interested to learn about opportunities to solve complex businesses problems. Please reach out to me at [email protected] Find me on GitHub: Scientist @ From July 2015 to Present (6 months) Statistical Consultant @ Job Summary: Developed hierarchical linear models (HLM) to predict monthly revenue (for $100MM+ annual revenue business) at the UPC level across thousands of albums, nine geographies, and three revenue streams. Implemented these models in production using R and SQL where they are used to help identify revenue anomalies and improve forecasting. From July 2014 to July 2015 (1 year 1 month) Statistical Consultant @ Job Summary: Provide statistical consulting to UCLA researchers. We are primarily focused on helping researchers refine their analytical approach and the nuts-and-bolts of their analyses. - Help UCLA researchers to refine their analytic approach, to apply appropriate statistical methods, and to understand and interpret their results. - Clients come from diverse fields--spanning medicine, humanities, and natural sciences--and have a diverse array of both questions and technical expertise. Our clients are primarily working on publications or dissertations; and, we primarily work in R, SAS, Stata, and SPSS. From April 2014 to June 2015 (1 year 3 months) Teaching Associate @ Job Summary: TA-ing provides me a wonderful opportunity to work on my mentoring, leadership, and presentation skills in both a classroom and one-on-one setting. I thoroughly enjoy both the challenges of the role and seeing the progress of my students. Courses: - STATS 12 - Introduction to Statistical Methods - STATS 20 - Introduction to Statistical Programming with R (TA'd twice) - STATS 100A - Introduction to Probability - STATS 100B - Introduction to Mathematical Statistics - STATS 101A - Introduction to Linear Models Sample of anonymous student evaluation comments: - "Alex is an amazing TA. He is very knowledgeable in his subject area. He expands on subject matter from lectures and often explains them in a different manner that will help you understand them better."​ - "Alex is extensively knowledgeable in R and related coding systems. My question was always answered fully and accurately. Also, his articulacy is awe-inspiring and his patience respectable."​ - "Alex is extremely knowledgeable in the field of statistical computing, and he always knew exactly what he was talking about. He is the model of what a TA's knowledge should be."​ - "Alex was a very great TA. He gave a multitude of examples during his sections and even expanded certain concepts in emails after class." From January 2014 to June 2015 (1 year 6 months) B2B Quantitative Analyst @ Job Summary: Chiefly responsible for developing and implementing B2B segmentation models used in acquisition and retention strategies. Additionally. produced numerous analyses, reports, and projections in support of B2B, B2C, and sales objectives and planning using SQL, R, SAS, and Excel. Project Highlights: - Developed B2B segmentation models with $10MM+ revenue potential. - Led project to develop and centralize a SAS/SQL code library across B2B/B2C teams. · Developed numerous macros to improve modeling efficiencies, including: campaign sampling and data pull, identifying and dealing with outliers, calculating value of information, imputing missing values, and reporting. · Led analytical effort to understand profitability of smallest credit unions, allowing us to reduce the minimum credit union membership size that we could profitably extend products to by 50%. · Analyzed impact of test/control circulation on campaign results across products. Suggested design improvements that could be made to decrease impacts of testing. · Evaluated business impacts of new data sources and modeling techniques. From April 2012 to September 2013 (1 year 6 months) Madison, Wisconsin AreaPricing Analyst @ Job Summary: Chiefly responsible for conducting market and industry research to analyze product positioning and pricing; developing tools and solutions to improve internal performance metrics; and producing pricing and contracting documents during sales and contracting. Project Highlights: - Developed project plan, wrote data model, and led project to develop the Pricing Team’s datamart. - Independently developed over 10 tools using MS Excel, VBA, and SQL that are now standard in pricing calculators, reducing average calculation times from 1-2 hours to less than 20 minutes. - Performed econometric analyses of customer support usage, revenue, and profitability. Identified two unprofitable business practices and proposed revenue model changes with a modeled increase in profitability. - Analyzed legacy pricing structures for anomalies. Developed equation-based pricing structures enabling more flexible and consistent pricing across our suite of products. - Analyzed profitability across major revenue streams for US and European operations. - Developed CAGE analyses to identify new international market opportunities. From 2010 to April 2012 (2 years) Financial Analyst @ • Analyzed risk rating system used to catalogue >$500MM loan portfolio, comparing portfolio performance to industry peers and forecasting future default rates. • Modeled and analyzed financial statements, assessed debt service capacity, and updated risk ratings to match clients’ current financial condition. • Used the CPPI to determine accurate LTV ratios for our Class B and C commercial property backed loans. From September 2009 to May 2010 (9 months) Applicant @ • Earned “Top Secret” National Security Clearance. • Volunteered with Minneapolis Public Schools helping K-5 students with reading and math. From January 2009 to September 2009 (9 months) Catastrophe Risk Consultant @ Modeled and analyzed portfolios ( From June 2008 to November 2008 (6 months) Master of Science (MS), Statistics @ UCLA From 2013 to 2015 BA, Major in Economics, Double Minor in Math and Statistics @ Macalester College From 2004 to 2008 Alex Whitworth is skilled in: Data Analysis, R, SAS, LaTeX, Statistical Modeling, Analytics, Excel, SQL, Financial Modeling, Microsoft Office, SAS programming, Stata, VBA, SQL Server, Quantitative Analytics

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In a nutshell

Alex Whitworth's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 1 month(s)

Alex Whitworth's Willingness to Change Jobs



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