Lead a team of data scientists to develop and execute advanced Data Science and AI solutions for the Sales, Compliance and Service organizations within New York Life. Strong emphasis and track record in business development. Develop, evangelize and implement data science products and solutions to unlock value and help business partners achieve outstanding results. Sample projects:• Innovative AI hiring solution using psychometric assessments, background data and consumer data to revamp the agent hiring process and boost agent productivity and retention. Solution is expected to generate multimillion benefits each year• GenAI question answering bot for Sales and Service organizations that leverages the power of LLMs to interrogate internal documents and provide answers seamlessly and efficiently• Innovative Deep Learning product that predicts multiple sales agent performance metrics simultaneously and helps reduce agent churn and increase sales• Advanced predictive modeling solution to detect agent fraud and non-compliance using machine learning. Prediction and prevention of non-compliance is not only regulatorily required but will help to reduce reputational and legal risks and save resources spent on detection by providing an automated and efficient detection tool• Used predictive modeling to measure the impact of proposed compensation changes to agents and make go/no go recommendations• Multivariate analysis to assess the impact of customer/agent relationships on sales and retention• Experimental design and measurement of test programs using observational data

Advising the DoWork team on AI strategy to create a product that revolutionizes project management by making it intelligent and analytical. We intend to build an Auto Pilot capable tool.

Led a data science team within the Science group to create advanced analytics solutions for the commercial insurance distribution and underwriting business  Built machine learning models to facilitate and enhance the commercial business opportunity identification and underwriting process Coached relatively junior PhD and Master’s level data scientists into a cohesive and capable team Proposed and implemented a productivity toolkit – a library of reusable codes - for the Science team

Throughout my nearly 11 year tenure within the EXL analytics consulting practice I led analytics projects, implemented cutting edge solutions, advised on data science techniques, tools and methodologies, built capabilities, and won competitions. Clients included Fortune 500 companies from diverse industry segments.

Head of Methodology (Jan 2011 – May 2015)As Head of Methodology I was responsible for the following key areas: Leadership and advisory in Data Science and Data Management Analytical capabilities development, research and evaluation of tools and techniques Development and oversight of firm’s training and certification programs Growing and maintaining a competitive edge in methodologies via R&D initiatives and data mining contests

Built and validated predictive models, advised on modeling methods. Participated in data mining competitions. Gave trainings and talks on advanced statistical and machine learning techniques. Presented at conferences.Sample accomplishments: Basel II: PD (Probability of Default) and LGD (Loss Given Default) modeling for a top 5 US bank. Invented an innovative technique for more accurate LGD prediction (see publications) Small Business underwriting model for a major US bank FNOL loss estimation model for a US insurance intermediary Churn prediction model for a major telecom company using Neural Networks

Led teams in various client engagements, managed client relationships. Projects spanned analytics, predictive modelling, analytical applications, optimization, data strategySample accomplishments: Price optimization tool for a leading US commercial insurance carrier Designed and developed a cutting edge model MIS application to monitor a suit of ~100 predictive models for a leading credit card company

Delivered analytical and database management projects. Provided thought leadership to junior teammates. Was recognized by clients and peers as a subject matter expert in data analysis. Sample accomplishments: Worked out an innovative methodology for migrating 200+ predictive models Invented a parallelization technique for SAS performance acceleration (see publications) Developed an innovative data extraction tool resulting in high degree of automation, up to 20x acceleration of data pulls and $5M+ savings for a top US credit card issuer Developed automated data health check systems for a customer marketing database

Data Analytics, BI and database marketing services for AT&T.  Statistical analysis and data mining, customer lifetime value modelling, segmentation  Decision support systems using advanced SAS programming in Unix/Mainframe Customer profitability analysis, customer care economics, cohort studies OLAP reports, design and implementation of production processes