- Leading Analytics Services for Multiple Accounts

Provide custom marketing analytics solutions for improving customer acquisition and retention to clients ranging from insurance and financial sector to telecom and marketing. Develop state of the art modeling solutions and superior business metrics. Datalab USA is the winner of the 2013 DMA competition and 2015 ICDM modeling competition.

Drive analytics innovation to achieve excellence in risk management (loss forecasting, severity modeling) and underwriting (customer acquisition and management), by providing new analytical tools, process improvement, statistical analyses and consulting. Focus on providing the customer with functional solutions, by engaging in every aspect of the problem, including governance, IT, and business value.

- LOBs: Financial Services Statistics, CRM- Worked on both loan and card type products- Developed marketing, credit risk, operational risk and revenue statistical models using several tools, including SAS, R, Treenet, CART, and both frequentist and Bayesian techniques- Involved in all phases of model development: laid analytical framework and data requirements, built models, managed compliance procedure and supervised implementation process- Responsible for model monitoring, developed monitoring for both statistical models and business metrics- Evaluated new statistical tools and alternative data sources- Worked closely with statisticians, business analysts, DB managers and compliance- Successfully worked as solo performer, project lead, team performer and part of agile team

- Provided statistical consulting services for graduate students, postdoc fellows and faculty at the University of MIssouri Columbia- Offered consulting on statistical methods and software, performed and validated data analysis, interpreted statistical results- Client relations lasted from few hours to few months

- Developed and utilized econometric and statistical methods to model activity based mobility demand- Focused on structural equations and discrete-coninuous choice models, hierarchically nested logit and nested tobit estimation- Published papers on tier 1 transportation science journals- CRIMM (Centre for Research on Mobility and Modelling), strives to promote and enhance research on transport and mobility issues and on the integration between economic development, land use and transport supply and demand