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Marketing Project Manager

Location:
Northbrook, Illinois, 60062, United States
Posted:
March 13, 2018

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Yefim Dain

Glenview, IL *****

847-***-****, ac4snl@r.postjobfree.com

LinkedIn URL here

ECONOMETRIC, STATISTICAL, and QUANTITATIVE SKILLS

Big Data Quantitative Modeling, Campaign Effectiveness Analysis, Customer Segmentation and Profiling, Retention and Loyalty Analysis, Marketing Mix, Lifetime Value Analysis, Competitive Market Research

Linear Regression. Logistic Regression. GLM. Structural Equations.

Hierarchical, Mixed Models. Panel Regression. Experiment Design.

Survival Model and Attrition Analysis, Cox’s Regression. Point Processes.

Bayesian Networks.

Stochastic Processes. Poisson Processes.

Marketing Analytics. Multivariate Econometric Time Series.

Dynamic Multivariate Regression. VAR. GARCH. ARIMA Models.

Method Monte Carlo. Markov Chains. MCMC.

Segmentation and Clustering. Decision Trees. Neural Networks. Data Mining.

Methods of Nonlinear Constrained Optimization.

Stochastic Differential Equations and Finite Difference Methods.

STATISTICAL SOFTWARE SKILLS

Tools: R, RStudio, SAS BASE, SAS MACRO, SAS ETS, SAS STAT, SAS EMINER, GBM,

GEEGBM, RPART, CART, MARS, TreeNet, Nxen, Eviews, HLM 6, LISREL, PcGets,

OxMetrix, MATLAB, BayesiaLab, Oracle SQL/PL*SQL, Hadoop, MS Excel & PowerPoint

Languages: MATLAB, C/C++

Operational

Systems: WINDOWS 2000/NT/XP, UNIX/AIX/IRIX, Solaris, IBM VMS

PROFESSIONAL EXPERIENCE

ALLSTATE INSURANCE, Northbrook, IL 2004 – 2018

Senior Manager/ Principal Predictive Modeler/Lead Data Scientist, Marketing Department

Selected projects in Big Data analysis:

Time based (Repeated Measure) nationwide prospects segmentation and scoring model

Life insurance cross-sell scoring model

Direct mail response analysis model

Renters scoring model

Improved agents’ conversion rate by analysis and clustering agents’ responsiveness to TV advertising. Profiling agents’ clusters by capacity to generate new business.

Bayesian network modeling of Customer Choice.

Developed and supported customer segmentation and defection scores of large customers’ data sets (20 ml records). Improved customer relationship, loyalty, customer LTV, and retention (by 1%).

Supported direct marketing, acquisition and cross-sell strategies of the company using data mining and predictive modeling. Managde behavioral segmentation and customers’ profiling.

Led multiple projects on comparative measurement of customer sentiment, marketing campaigns effects including experiment design and analysis of treatment effects. Improved Direct Marketing campaigns, applying sample bias correction, resulting in multi-million marketing saving.

Created multiple models of Marketing Mix and ROI optimizing advertising budget allocations. Modeled nationwide Marketing Mix, advertising market response, and market elasticity using multivariate dynamic regression of sales time series.

Created statewide multivariate hierarchical Marketing Mix model of market response. Optimized advertising spending between different sale regions.

Developed model of competitive insurance companies market share dynamics using vector auto-regressive conditional multinomial models (VARIMA) for nationwide insurance market.

HUMANA HEALTHCARE INSURANCE COMPANY, Louisville, KY 2003 – 2004

Senior Research Statistician

Developed multivariate survival Cox’s regression model of cardio-vascular chronic diseases competing risk based on customer attributes and medical history of diseases.

Estimated disease propensity and covariate effects of health history using type-specific hazards and survivor functions in parametric regression and Cox regression models.

Developed statistical models of historical and current medical insurance data analyzing trend, cycle, and seasonal components of insurance claims data series. Implemented autoregressive moving average conditional multinomial forecasting model (ARIMA) for clinical health care econometric time series.

Applied statistical programming and statistical data analysis to design proprietary modeling algorithms and statistical software.

NORTHWESTERN UNIVERSITY, Evanston, IL 1999 – 2003

Senior Research Associate – Visiting Scientist

Projects:

Ford Motor Company:

Tested requirements according to specifications and client standards. Analyzed kernels for filtering of time series, and software for correction of experimental raw data.

Modeled stochastic master equations for calculation of energy transfer probabilities.

Modeled molecule collision dynamics and vibrational energy transfer probabilities in Brownian motion using methods of statistical physics.

NASA:

Performed stochastic modal analysis of time series experimental raw data.

Developed analysis of statistical signal distortion in experimental time series, performed signal processing, and statistical energy analysis.

Argonne Lab:

Calculated energy transfer probabilities for nitrogen-methane-humidity gas mixtures.

UNIVERSITY OF ESSEX, Wivenhoe Park, Colchester, Essex, UK 1996 – 1998

Senior Research Officer

Project: British Aerospace Company:

Developed statistical models of experimental raw data. Designed testing requirements according to specifications and client standards.

PRIOR EXPERIENCE:

Research Associate, Technion, Haifa, Israel.

Ministry of Science project:

Developed asymptotic, semi-numerical and finite difference models of partial differential equations of multi-component gas dynamics to determine the rate of local deposition and particulate concentration.

Project Manager, Major Research Center, Moscow, Russia.

Modeled partial differential equations of Mathematical Physics.

EDUCATION

Moscow University, Moscow, Russia

PhD in Mathematical Physics

MS in Statistics and Applied Mathematics

SAS Institute

Basel 2 Risk Modeling Using SAS

PROFESSIONAL ACTIVITIES

Member, American Statistical Association



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