I have 18 years of hands-on experience in Decision Science and Analytics for financial services domain encompassing Credit Risk Modelling across customer life cycle, Strategy and Marketing analytics.I spent my initial years with BFSI's earliest successful adopters of Data Science which gave me exposure into how data science has been transforming business models in payment cards industry across the globe. Since then, I have taken progressive roles in developing statistical models and strategies around customer engagement, cross sell, acquisition, portfolio analytics and risk management.In my current role as Vice President with Paytm, our team has been pioneering advanced data science applications to drive strategic decisions and foster innovation. With a focus on decision sciences and analytics, we've contributed to shaping the company's data-driven culture and strategic direction through predictive analytics and actionable insights generated from model development and exploratory data analysis.My area of interest lies in solving business problems through predictive and data analytics which is scalable, implementing complex solution, building collaborative stakeholder engagement through actionable insight and build and nurture a skilled team.โข ๐๐ผ๐บ๐ฎ๐ถ๐ป/๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐: Payments, Utilities, Credit Cards, Personal/Auto Loans, Mortgage, SME, Credit Bureau.โข ๐๐๐ป๐ฐ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐
๐ฝ๐ฒ๐ฟ๐๐ถ๐๐ฒ: Customer Lifecycle Management (Acquisition, Cross-sell/Up-sell, Portfolio growth, Retention, Customer Lifetime value), Credit Risk (Credit Decisioning Scorecards, Behavioral Models), Regulatory Models (Basel, IFRS9, CCAR).โข ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐๐
๐ฝ๐ฒ๐ฟ๐๐ถ๐๐ฒ: AI/ML Techniques, Model Life Cycle, Alternate Data, Recommendation System, Clustering, Time Series, Python, SAS.โข ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ: Setting-up and managing high performing analytics/data science teams. Active contributor to campus, off campus recruitment and intern mentorship.
