Manager/Marketing Science Research Lead, Ph.D. (Chicago,IL)

OBJECTIVE  

• PhD in Applied Mathematics, MS in Computer Science.
• Nine years quantitative analysis, data mining and marketing research experience.
• Expertise in a variety of statistical and business models such as logistic regression, cluster analysis, decision trees, time-series analysis, multidimensional scaling, factor analysis, mix-effects regression, general linear regression, Bayesian analysis, basket analysis, association rules, market segmentation strategy, price promotion, campaign response models, etc.
• Extensive experience in SAS, SPSS, Statistica, Latent Gold, R, MatLab, VB, MS Access, Excel, PowerPoint, Oracle, SQL Server, DB2, Sybase, C/C++.
• Excellent written and verbal communication skills.
• Taught many college level mathematics and computer science courses.
• U.S. citizen.

EXPERIENCE

• Consumer Decision Trees and Maps. This SAS based application of cluster analysis
  • Can determine the competitive structure of the CPG products of any given Category and how the products interact with each other.
  • Can provide an insightful understanding of how consumers are purchasing the CPG products and actionable input into key category management efforts including shelf placement, assortment and promotion planning.
  • Can identify opportunities for new product introductions, line extensions, and brand repositioning.
• Shopper Insights. The objective of the project is to develop integrated analytical and automated solutions to obtain actionable insights into shoppers’ needs, attitudes, preferences, and behavior to optimize shopper-insight-based decisions for CPG retailers and manufacturers. Especially, one of the focuses is the study of Trip Mission Types.
• Forecasting New Product’ s Performance. Given the cost and risk of launching a new product, firms often undertake some form of test market in order to gain a more accurate read on the new product’s performance before final decisions about the product launch are made. The objective of this project is to create a forecasting application, which provides an accurate forecast of overall new product sales. By analyzing the linkage between the trial and repeat purchase processes, this application allows managers to carefully diagnose the subcomponents of new products sales. 

• Worked on several financial/banking, pharmaceutical marketing and database marketing projects. Designed, developed and implemented a wide variety of statistical models, including logistic regression, time series analysis, cluster analysis, factor analysis, etc.
• Converted large amount of raw data into intelligence about customers, markets, and competitors, in order to develop new services to meet customers’ needs.
• Analyzed data across geographies and customer segments to detect fraudulent and behavior patterns of risky customers.
• Build a web based application tool for reporting, tracking and analyzing various types of market data.
• Translated quantitative results to relevant business contexts and provided actionable recommendations to support marketing strategy decisions.
• Designed entity relationship models and built the relational database.

• Developed EDIAnalyzer for analyzing business data in EDI format.
• Wrote application requirements and designed relational database.
• Added functionalities to a window application for marketing research.

• Worked on a project for Nielsen Media Research to process TV rating data. Wrote requirements, did data analysis and designed business models, implemented GUI and other functionalities.
• Worked on a large-scale E-business application for trading energy commodities. Worked with clients to define requirements, design business models and implement components.
• Enhanced skills in data analysis and optimization algorithms and acquired strong understanding of energy trading, financial markets dynamics and financial instruments.

• Taught several mathematics and computer science courses including calculus, linear programming, differential equations, probability and statistics, java, c/c++, optimization and combinatorial algorithms.   
• Worked on research projects in various disciplines including finance and real estate research, especially a project on study of Chicago house/land prices. Used many statistical and mathematical methods and models such as Spline Functions and Mixed Effect Models.

• University of Illinois at Urbana-Champaign -- PhD, Mathematics, 1996.
• University of Illinois at Urbana-Champaign -- MS, Computer Science, 1999.

COMPUTER SKILLS 

PERSONAL DATA : U.S. Citizen.

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