PayPal, San Jose, CA Oct 16 – Current• Collaborated with key stakeholders in product, engineering and marketing to optimize the customer activation funnel of new PayPal products in Mexico, Brazil and Italy with a goal of achieving over 1 million new customer activations through these products• Presented findings from multiple deep dives and A/B tests to stakeholders to uncover problem areas and optimize the activation funnel• Developed instrumentation requirements to measure performance and impact of PayPal credit banners in merchant websites• Developed KPIs and dashboards to identify problem areas of the performance of the merchant and consumer products. • Developed classification models using machine learning to target merchants that are most likely to adopt credit bannersJohnson & Johnson, Pittsburgh, PA Jun 16 – Sep 16• Led the development of marketing mix models using regression and varmax for major brands of J&J to measure the RoI of over $30 Million marketing spend and optimize the investment in various marketing channels.• Presented insights from the models to individual brand marketing teams and business units at J&J

AT&T, Atlanta, GA Feb 14 – May 16• Built a 360 degree view of millions of AT&T mobility and home solutions customers by stitching data from various sources using big data technology, that enabled crucial analysis for AT&T customer care organization• Led the development of machine learning models to increase the adoption of digital contact channels of customers with a potential cost savings of $8 million annually .• Analyzed chat transcripts using NLP and provided insights to improve customer experience • Developed descriptive visualizations to make millions of households eligible for AT&T services with the existing infrastructure and at a very low cost • Led the development of machine learning and predictive algorithms to simplify customer care call center operations, leading to a reduction in the average call handle time by 1 minute which will lead to cost savings of $11 Million annuallyWalmart, Bentonville, AR Aug 13 – Jan 14• Developed proof of concept for real time analytics to decrease store checkout wait time and improve in-store inventory management at Walmart, which can result in an increase of $20 Million revenue annually. The CTO of Walmart awarded this effort as the most impactful project in Walmart’s annual hackathon• Provided strategy and roadmap to build a center of competency for analytics at Walmart• Developed analytical methods to identify stores suitable for preventive maintenance to reduce energy consumption and reduce maintenance costs of Walmart’s stores across USA

• Led the integration of predictive analytical models for health insurance fraud detection in FICO’s Insurance Fraud Manager, helping reduce the health insurance fraud in the USA, which is estimated to be over $300 billion annually.• Led the development of event based adaptive control capabilities for FICO Debt Manager 8.0, which helps accelerate the debt collections and recovery cycle of agencies. • Initiated and led an effort to automate a large part of software development process resulting in better standards and quality of delivery, while increasing the product development efficiency by 20%.

• Enabled global IBM business partners in the usage of IBM’s Websphere middleware offerings, which include application server, process server and portal server, facilitating wider adaption of IBM products• Developed a data loading, catalog and content handling component of IBM Websphere Commerce, enabling rapid online store setup• Developed proof of concept for dynamic feature weaving in software which was awarded as IBM extreme blue project, a recognition for the most promising global intern projects at IBM