Zach S. Feinstein
**** ****** ******, ***** ****, Minnesota 55116
612-***-**** – email@example.com
Versatile Statistics Leader & Data Scientist who combines strong analytical intellect with trustworthy communication skills. Generate and present meaningful insights to help clients, stakeholders and colleagues develop better action plans. These include improving the customer experience, increasing marketshare, building brand differentiation and improving the end product. Competencies include:
Advanced Analytics and Methodologies. Skilled at programming in Teradata, SAS, SPSS, R and VBA. Deep statistics & methodology background includes standardized testing/measurement, reliability and discrimination analyses, classical test theory and item-response theory and statistical modeling to create questionnaires that produce extraordinarily meaningful and robust results.
Data Engineering Specialties. Data extraction within a Hadoop environment using SQL has been a useful skillset. Combined skills from multiple command-line interfaces with varying analytics platforms.
Communication Skills. Able to convey even the most statistically advanced concepts in laypersons terms so that stakeholders can fully grasp exactly what the numbers mean and what the implications are. Skilled listener who can tune into business objectives and then translate information into meaningful insights that ensure each party receives the information they need.
People Leadership. Success in leading teams of researchers, engineers, statisticians, modelers, salespeople and project managers. Recognize the strengths of others as well as areas to coach and develop. Able to properly delegate workload to various teams and/or individuals.
Project Management. Able to analyze a project, develop milestones and detailed project plans to ensure projects get completed on time and that stakeholders are involved at the right times (and are kept in the loop). Skilled at keeping “lots of balls in the air” and managing multiple projects at once.
Innovation. Known for thinking "out of the box" when necessary to insure that the team is providing the best possible solutions and ideas to fulfill the methodological needs of any particular project. History of recycling previously developed methodological innovations from the rich array of history as well as conjuring new ones on an as-needed basis.
TARGET CORPORATION 2015 to 2018
Senior Lead Analyst – BI & Analytics
Regularly engineer data and perform consultative statistical analyses for wide variety of initiatives. Contributor to marketing measurement agile team as well as assorted teams across all of Target.
Kick-started Target career with an analysis of the core number of assets for each guest to have. Built relationship between these varying assets and hoping to increase the number of transactions at both a store or online level. Ultimately found a “sweet spot” for marketers and researchers to focus on.
Built models to predict return on ad spending for marketing purposes. Sought out places where data may be lacking for full-time understanding.
Created an easy-to-use and novel methodology for combining control stores versus large test markets for AB Testing.
Unique Software Used: Target database SQL; Hue; DOMO; Hadoop/Hive; Teradata; R; SAS.
ST. THOMAS UNIVERSITY 2015 – Part Time
Adjunct Professor – Introduction to Statistics
SFM – WORKERS’ COMPENSATION INSURANCE 2014 to 2015
Statistical Data Modeler
Regularly present to varying teams regarding Underwriting and Claim models. Advise on best modeling techniques as well as helping implement best practices and scoring. Developed Random Forest Models using machine-learning principles. Incorporate text analytics and data mining with discoveries.
Unique Software Used: Both SAS Enterprise Guide as well as SAS Enterprise Miner.
ISG – INFORMATION SOLUTIONS GROUP 2013 to 2014
Director of Quantitative Research
Adaptive Conjoint and MaxDiff regularly used for differing projects. Stated Importances grounded with derived statistical weights. Developed major SQL database to create library of surveys for major international producer and marketer of food, agricultural and industrial products and services. Database created streamlined methodology of easy retrieval, export and re-import of all data for standardization.
Notable Clients Include: Thomson Reuters, Cargill, Assorted Midwest Health Clinics.
Unique Software Used: Extensively used both SPSS and the entire suite of Sawtooth Software for Choice Modeling, R, CCEA Cluster Analyses and Hierarchical Bayesian Regression. Visual Basic. SQL. PowerPoint.
H&P – HALL & PARTNERS 2011 to 2013
Director of Analytics
Led international team with varied Analysts to streamline all surveys for varying projects. Created database system that interacts with SPSS to speed process along. Performed multiple Segmentations, Typing Tools, Conjoints and assorted simulators for each of the varying clients. Performed research in development of both Brand Mapping, Ipsative Measurement and Media Mix Optimization.
Notable Clients Included: Stainmaster Carpeting, BMO Harris Bank, Gazelle, Chevrolet, Gates Foundation, Microsoft, American Express, JCPenney, KRAFT Foods.
Unique Software Used: AMOS for Structural Equation Modeling; BrandMap.
CARGILL CORPORATION 2011 to 2011
Analytic Contractor and Consultant (Part Time)
Create Perceptual Maps and varied Segmentations for diverse projects. Full conjoint plus simulator.
NIELSEN RESEARCH CORPORATION / BASES 2009 to 2011
Manager of Statistical Modeling
Led various aspects of team for major research undertaking for large worldwide client. Led teams in Mumbai, India and Kiev, Ukraine for various novel research projects. Also work with clients and colleagues in Buenos Aires, England, Paris and all over the U.S.
Coordinated driver analyses and Research and Development, developing questionnaires and analyzing results to determine what would provide the greatest “lift” (changing prices, value, quality or any assorted experience or touch-point) and what might have the greatest impact on future purchase decisions. Presented results to multiple stakeholders.
Designed a regularly executed system for statistical weighting to obtain the proper representation of survey respondents. Resulted in more reliable and valid data leading to wiser decisions. It also simplified the lives of researchers and reduced the amount of ad hoc work required at the close of a project. This system became regularly incorporated into every project.
Used unique software: Latent Gold, providing documentation and teaching this application to other researchers to ensure they were up to speed and able to gain value out of this tool quickly.
HARRIS INTERACTIVE / TOTAL RESEARCH CORPORATION 1997 to 2009
Helped grow energy and process management client from simple studies totaling $40,000 per project to multi-million dollar endeavor across more than 60 countries.
Provided on-site training to clients and colleagues facilitating implementation of statistical platforms.
Designed and implemented Conjoint Analyses, various forms of Regression, Discriminant, Factor, and Cluster Analyses, Correspondence Maps, Segmentation, Canonical Correlation, Principal Components, Multiple Classification Analyses, CHAIDs, Multivariate Analysis of Variance, bias correction techniques, statistical (derived) importance assessment/key drivers using variety of techniques such as Logistic Regression, Equity Estimation, Partial Least Squares and Word of Mouth analyses.
Developed proficiency in many weighting techniques for proper representation. Propensity weighting, marginal and rim weighting, and unique or individually tailored weighting schemes employed on client-by-client basis.
Received training at MIT on Discrete Choice Models (DCM). Designed automated delivery system of DCM tasks for health-care client. Utilized experimental design techniques in wide variety of settings.
Notable Clients Included: 3M, United Health Group, Hewlett-Packard, Intuit, American Family Life Insurance, Mack/Volvo Trucks, BP, Marriott, Chemical Abstracts Society, Mass Mutual, Del Monte, McDonald’s, Deluxe, Emerson, Ontario Lottery & Game, European Society for Medical Oncology, Sprint, Ford Motor Company, UPS. All were client-facing, and many other Fortune 500 companies were serviced as well.
Unique Software Used: SPSS & SAS; AnswerTree; R; StatTransfer; BrandMap; all Microsoft Platforms; Business Objects.
DAKOTA WORLDWIDE CORPORATION 1996 to 1997
Provided guidance and empirical support for how key touch-points affect the customer shopping experience. Integral in various client workshops to build action plans based on our insights.
Implemented unique, “on-the-spot” market research surveys to pinpoint problems within 24 hours, allowing them to be fixed before they could manifest and become a pattern that hurt business.
Contacted present, past, and possible future clients, offering value and generating new business.
Developed and implemented comprehensive market research system, including designing standardized questionnaires, editing surveys and developing a computerized phone-mail standardized survey system.
Geographically sampled from designated trade areas using MapInfo.
UNIVERSITY OF MINNESOTA 1995
Introduction to Statistics Instructor
Led discussion of descriptive statistics leading to inferential analyses for indices of both central tendency and variability. Each course ended with discussions of correlation and prediction.
SOUTHERN MINNESOTA LEGAL SERVICES, INC. 1994
Statistically analyzed Saint Paul firefighters test discrimination case. Evaluated best weighting schemes to eliminate bias toward women and minorities. Prevented matter from going to court after ten years of deliberation. Both the methodology and results reviewed on National Public Radio.
AMERICAN COLLEGE TESTING (ACT) 1994
Demonstrated feasibility of a polynomial loglinear model for item bias research. Results concordant with previous research, but used fewer statistical parameters. Presented research results at Annual American Educational Research Association Meeting.
ACADEMIC EXPERIENCE & EDUCATION
Ph.D. (ABD) in Psychometrics; supporting program in Statistics (1996)
UNIVERSITY OF MINNESOTA, Minneapolis
Adviser: Dr. David J. Weiss
Dissertation Topic: A monte-carlo investigation of using the polynomial loglinear model to detect differential item functioning.
Statistical Knowledge and Platform Experience: SWEEP algorithms for parameter estimation. Multidimensional Scaling. Generalizability Theory. S+. D-Base for DOS.
Research assistant for Minnesota Importance Questionnaire & Minnesota Ability Test Battery.
B.A. in Psychology (1991)
KENT STATE UNIVERSITY HONORS COLLEGE
Hanson, B. A. & Feinstein, Z. S. (1997). Application of a polynomial loglinear model to assessing differential item functioning for common items in the common-item equating design. ACT Research Report Series, 97(1).
Feinstein, Z. S. (1995). Effects of differing item parameters on closed-interval DIF statistics. Applied Psychological Measurement, 19(2), 131-142.