Consumer Banking Analytics: Personal LoansProvided data, insights, analyses and models to Consumer Loans Product & Portfolio Management teams to help make key executive decisions regarding personal, mortgage and auto loans.• Carrying out propensity, retention, segmentation, profitability, prepayment and cross-sell analyses and models using Toad for Oracle, SAS Miner and SAS Guide tools. • Utilizing regression, decision tree, neural network, scorecard and random forest methods while generating predictive and descriptive models.• Performing ad-hoc analyses to address board level business questions and to adapt to changing market conditions and regulations.• Preparing reports and executive dashboards using MS Excel and Microstrategy Visual Insight.

Payment System Analytics: Credit and Debit CardsDelivered data-driven, SQL-based analyses and predictive models for the successful marketing of credit and debit cards and card-related products (cash advance, overdraft etc.). • Participating in the design process of activation, acquisition, upsell and brand partnership campaigns by working closely with the related teams and by providing feasibility assessments. • Performing pre/after analyses, NPV assessments and response measurements of card-related products and campaigns.• Generating propensity, loyalty, retention, next best action and profitability models using SAS Miner.• Presenting periodic reports and dashboards to related teams, to the EVP and to regulatory organizations (Interbank Card Centre, Credit Bureau etc.).

Performed bioinformatics analysis of genetic disease candidate genes in order to identify susceptibility levels of patients to certain hereditary disorders.