Leading the Operations Analytics for Underwriting services across Mexico, US, and Canada,ensuring seamless operations and strict adherence to key performance indicators, whilemanaging a diverse team of analysts Conducting regular Run the Bank (RTB) meetings with senior stakeholders to discussperformance, identify areas for improvement in STP%, Approved%, Average Approved TAT,Input Quality Error%, Average Wait time, and Average Handle Time (AHT), and strategizeon action plans to enhance operational efficiency Developed a mechanism to:o Identify pre-approval applications for Mortgages and streamline capacity planning,leading to improved processing times and customer satisfactiono Analyze processing time for several customer segments, enabling efficientresubmissions & enhanced performance Working as Co-Chair of the Learning & Development Task Force, taking charge oforganizing & curating training content to meet diverse workforce needs, managing theCapsule Program, and so on Developed a US daily capacity plan methodology, resulting in more accurate volumeestimates and reduced stress during peak volume days, enhancing operational efficiency

Conducted churn prediction and predicted the likely leads from aggregators such as PolicyBazaar, contributing to the overall business growth and increasing Direct/Online Business fromINR 42 lakhs to INR 2 cr Spearheaded agent activation model, accurately predicting agents likely to do business andachieving a 13% increase in select regions Assessed business & technical problems, provided best-fit solutions & architecture using next-generation technologies, showcasing extensive experience in machine learning, deep learning,and NLP algorithms to propose AI-based solutions for diverse industries Ensured successful delivery of emerging data analytics solutions, defined strategy, principles,vision, and standards, and provided advisory services on data frameworks, governance, andquality Steered efforts in:o Agent business performance prediction model, resulting in a 13% increase in policiesin live regionso Agent MIS-selling grievance identification model, capturing 70% of grievances in thetop 20% of the populationo Sentiment analysis model for customer calls, achieving an 82% true positive capturerate in the top 20% of the population Executed customer and agent persona segmentation to optimize marketing strategies, improvesales performance, and develop fraud detection models, accurately predicting 75% of defaultcustomers and increasing collections by 25% in the Default segment

Led the Treasury-Accounting Analytics project, predicting weekly anomalies which led to decrease in the account anomalies of INR 640 Cr over the previous years Developed and maintained weekly data for 200+ General Ledgers associated with each profitcentre, streamlining financial reporting processes Successfully reduced overall demurrage costs by USD 1 million through pattern mining andanalysis, identifying causal factors and optimizing the scheduling of vessels Developed a predictive model for Merey-k factor OSP, outperforming internal cracking andcoking models in predicting crude proportions and optimizing profitability

Successfully reduced overall redemptions by INR 24 Cr through effective analysis,implementation of data-driven strategies, and leveraging transactional data for informeddecision-making Used decision trees to segment customer data into key segments, focusing on higher SIPpenetration & marketing efforts

Successfully developed & executed a digitization strategy post-demonetization for Bank of Baroda, resulting in 2.3 Cr active customers Developed a cluster-based segmentation model to identify high cross-sell rate clusters, withCluster 7 showing a 34% increase compared to the sample rate