Senior Consultant Nov 2018 - Present
McKinsey & Company | Boston, MA
 Led internal team which built road-map around segmentation of key revenue and sales channels for a Consumer financing client. This resulted in taking business decisions tailored to specific client/situation cluster
 Led the US analytics team to assess Covid 19 effects and possible scenarios: Leveraged high frequency data (Google trends, online sales etc.) to forecast low frequency macroeconomic indicators enabling early client readiness
 Led the client team for Digital transformation assessment of their organization: Identified key Digital capabilities, where they stand with respect to industry standards and next steps to close the gap
 Led the client team to conduct 360° assessment of digital resiliency of a top CPG player. Responsibilities included holistic assessment of People, Process and Products, interviewing senior executives across business units, quantifying the findings, gap identification and providing time bound tangible action items to improve Digital standing across the company
 Developed and validated quantitative and qualitative finance models for a top 5 US bank. Ensured client is in compliance with Federal regulatory requirements
 Conceptualized and designed a Central analytics platform which forecasts loss, balance and capital allocation across multiple business units with flexibility to analyze results at individual account level

Retail Analytics Consultant Sep 2018 – Nov 2018
Information Resources Inc | Woonsocket, RI
 Tracked the sales of CPG in multiple categories to identify key drivers of the revenue generated on a weekly basis
 Created road-map for client to reduce cost and maximize revenue by optimum allocation of different categories of products on the limited shelf space of client retail stores

Research Assistant Oct 2017 - Sep 2018
University of Connecticut | Hartford, CT
 Proposed and secured funding for a project targeted to increase course demand. Led team that identified key drivers attracting students to university’s program via topic modeling and NLP thus improving application numbers by 15%
 Led the team to build Customer Retention Predictive Models based on Home Insurance historical data. Found factors responsible for policy cancellations based on demographic information for Travelers Insurance

Professional 1 Engineer Aug 2010 – Dec 2016
CSC| Bangalore, India
 Led the client team to assess and optimize the content of their Training & Learning portal. Improved the portal by using predictive analytics and topic modeling reducing redundant courses by 10%
 Led the database analytics team on credit card usage and identified major spend categories like travel, entertainment etc.
 Profiled customers for Baxter based on purchase history of its medical devices thus optimizing marketing outreach
 Analyzed the marketing channels of Baxalta (Market Mix modeling) to identify most efficient channels for its products
 Led the team to create interactive Tableau dashboards of all spend categories thus reducing manual effort by 66.67%
 Ensured VISA products are cognizant to ADA(Federal Act) thus increasing usage among differently abled users by 12%
 Developed screen designs based on business requirement document using HTML tags