Greater Chicago Area
Experience in conducting statistical analysis and deriving solutions for customers to address the various phases of account life cycle. Expertise in data analytics, modeling, strategy development, and time series forecasting using advanced statistical techniques. Extensive experience in different modeling methodologies ( Logistic Regression, Tree Based, Ensemble - Boosting/Random Forests etc.) Track record in leading a team of skilled analysts to successfully develop and implement analytic strategies R, Python, sparklyr, SAS, Advanced SAS/SQL, SparkSQL, Hadoop, Netezza, Spark, Dremio, Xeno (Infocentricity), SAS Enterprise Miner, Excel, Stata, EViews
Manager in the Data Science and Analytics group for the financial services industry, overseeing the development of analytical solutions using descriptive, predictive, and prescriptive analysis for the full credit spectrum. Responsible for research initiatives from data science team across all lines of business for market studies. Acting as a thought leader to studies of significant scope to seminar and summit content and collaborating with business leaders across the matrix. Acting as an analytic consulting practice leader by cultivating and managing strategic partnerships
Lead and develop generic predictive models/solutions - own the entire development cycle from design to model development to validation and implementation Provide consulting services for clients to identify business problems; build models and strategies to meet business objectives
Solve business problems for credit lenders through the creative use of modeling and analytical methods
Build strategies to minimize fraud losses and reduce disruptions on good transactions Perform periodic reviews to track policy effectiveness; develop trigger reports to identify fraud spurts Build logistic regression models to reduce losses on credit cards
Simulated energy supply and demand dynamics to determine an overall outlook for the sector Analyzed key trends related to cost-economics, power sharing and pricing structure Provided insights on evolving regulatory scenario in energy infrastructure development Researched private sector participation in infrastructure development and other recent trends