Bengaluru, Karnataka, India
Highlights - Marketing and Risk Analytics, Machine Learning, AI Leverage Gen AI, LLM to improve cost efficiency and enhance customer experience by revamping the KYC and regulatory processes. Leading large teams, revenue impact spanning multiple verticals such as Product, Pricing, Compliance, Network and Operations Deployed Machine Learning models generating multi-million value Consistently rated among top 2% throughout career Recruit, Create and Mentor global teams; Manage vendor partnerships for fast paced solution deployment Established a high performing Data Science team of data scientists with focus on building ML/ AI driven models to predict network performance, customer response and churn, compliance risk, customer segmentation and price optimization Develop strategies and products to improve customer experience (CX), manage end-to-end CX and CRM initiatives including setting up A/B testing initiatives and quantifying the ROI of initiatives and revenue impact of digital product launches Leverage Market Mix Models and CLV/ CPR analysis to allocate marketing budget globally across retail and digital channels to maximize ROI and meet acquisition and retention targets Compliance and Call Center Analytics, Price Optimization, Financial Forecasting, Network Expansion and Performance Analytics
Lead the 55+ member Next Gen Analytics team focused on driving revenue impact and cost efficiency through ML, AI models. Drive Acquisition, Existing Customer Growth, Optimization, Customer Experience and Model Governance. Leverage Gen AI, LLM to improve cost efficiency and enhance customer experience by revamping the KYC and regulatory processes.
Financial Forecasting and Revenue Management Build ML models for base and price adjusted forecasts for KPIs that track global financial goals. Work with GTM teams to maximize revenue and acquisition through Price Optimization and Price Elasticity models Lead Advanced Analytics, Customer Strategy and Insights teams Price Optimization Strategies including ML/ AI driven dynamic pricing Compliance and Call Center Analytics to improve customer experience Built Network expansion and optimization strategies to maximize network growth and performance Stakeholder Management, Strategic Planning, Resource Allocation, Solve unstructured Problems, Develop Analysis Frameworks
Advanced Analytics Lead Established a high performing Data Science team of data scientists with focus on building ML/ AI driven models to predict network performance, customer response and churn, compliance risk, customer segmentation and price optimization Lead a large analytics team globally on Customer Experience projects driving revenue of $70 M Develop strategies and products to improve customer experience (CX), manage end-to-end CX and CRM initiatives including setting up A/B testing initiatives and quantifying the ROI of initiatives and revenue impact of digital product launches Manage end-to-end analytics for Global Marketing Budget of $150 M Leverage Market Mix Models and CLV/ CPR analysis to allocate marketing budget globally across retail and digital channels to maximize ROI and meet acquisition and retention targets Compliance and Call Center Analytics, Price Optimization, Financial Forecasting, Network Expansion and Performance Analytics Led analytics teams to identify and minimize friction for customers across compliance and call center; develop cross-border pricing strategies, improve network performance and build financial forecasts
Commercial Banking: Develop propensity models to acquire prospective businesses as customers; measure and track campaigns devised to cross-sell customized Business Vantage and Cash Management products Retail Banking: Propensity Model Development, Campaign Analysis, KPI Tracking, Network and Branch Capacity Optimization Models
Executed a project on 'Design and F.E. analysis of components for aerospace application' in which I designed an improvised flange and igniter casing to be incorporated in missile boosters using softwares like ANSYS, ProE and Solidworks.