- Heading a multidisciplinary data team of 25+ responsible for DS/AI led impacts on loyalty programs.- Balancing the act between overall Data Science, Data Strategy & Architecture, Analytics, Artificial Intelligence & Innovation among continuously changing business dynamics.- Setting up the Data Science & AI roadmap for the organization and team to enhance the rewardz solutions across Banking, Retail & Channel loyalty- Executed a comprehensive People, Technology & Solutions strategy… Show more - Heading a multidisciplinary data team of 25+ responsible for DS/AI led impacts on loyalty programs.- Balancing the act between overall Data Science, Data Strategy & Architecture, Analytics, Artificial Intelligence & Innovation among continuously changing business dynamics.- Setting up the Data Science & AI roadmap for the organization and team to enhance the rewardz solutions across Banking, Retail & Channel loyalty- Executed a comprehensive People, Technology & Solutions strategy to deliver innovative data solutions.- Incubated several use cases through data science resulting in impactful business outcomes.Key Achievements & Strategic Initiatives:1. Developed a 360-degree Customer Intelligence framework featuring smart segmentation, ML-based personas, propensity models & audience extension models enhancing customer engagement and marketing effectiveness. 2. Developing recommendation engine to personalize customer journeys across modules to enhance the CX & drive redemption on the Rewards platform3. Established a Data Engineering team from ground up: - Transformed the pipelines with Apache Airflow over cron based jobs - Implemented comprehensive Data Quality Management (DQM) process - Architected a new data science platform using PySpark/Delta Lake - Envisioning a scalable, reliable & cost effective big data architecture revamp for LR’s OLAP use case - Snowflake, BigQuery, Redshift, etc.4. Institutionalized Analytics at scale - Power BI cultivating a data driven decision making culture.5. Exploring GenAI and LLM through multiple POCs to establish a strong foundation for future AI-driven projects6. Revamped & commercialized a Fraud & Risk Management solution featuring an Anomaly Detection model with guardrails, effectively safeguarding rewards7. Democratized online customer tracking through alternate data sources - Clickstream(web/app) & Search(intent). 8. Enriched customer attributes leveraging ML & NLP techniques to improve reach. Show less

- Reporting into the Partner, Led the Data Science and Advanced Analytics team while managing a portfolio of marquee client accounts with P&L ownership for Deloitte’s pan-India Risk advisory function. - Consulted clients by closely engaging with their business stakeholders on end-to-end data science & analytics transformation. from - identification → scoping → solutioning → implementation → rollout.- Developed strategic roadmaps for data science & analytics capabilities & driving… Show more - Reporting into the Partner, Led the Data Science and Advanced Analytics team while managing a portfolio of marquee client accounts with P&L ownership for Deloitte’s pan-India Risk advisory function. - Consulted clients by closely engaging with their business stakeholders on end-to-end data science & analytics transformation. from - identification → scoping → solutioning → implementation → rollout.- Developed strategic roadmaps for data science & analytics capabilities & driving business growth.- Orchestrated, supervised & coached distributed teams with a mix of Leads, Data Scientists, Data Engineers, Analytics and Visualization analysts.Key Achievements & Strategic Initiatives:1. Built a robust advanced analytics practice for the firm's pan-India Risk advisory function ++team count ++skills. 2. Partnered with a global FMCG major, spearheading the implementation of a portfolio of projects. Assembled and led a team including Technical Architects, Data Scientists, Data Engineers, and BI leads, utilizing an agile delivery approach.3. Led the implementation of end-to-end projects on cloud platforms (Azure, GCP) - key use cases below: - Sales Livewire - One stop-shop for performance management for customer development teams to drive growth & efficiency. - Revenue Management - Strategic tracking of growth levers - Portfolio mix, Packs, Price, Promo. - Control Tower - Data driven risk controls - Digital Watch - Continuous process control monitoring. 4. Conceptualized, modeled, and launched an MVP offering Explainable AI capabilities, simplifying model interpretations and detecting biases to mitigate AI risk. Collaborated with NASSCOM CoE for Data Science & AI to create a Responsible AI framework and guidebook for the industry. Show less

- Reporting into the Partner, Managed a portfolio of marquee client accounts with its P&L ownership implementing Advanced analytics, AI/ML, Data science and vanilla Analytics projects.- Engineered data science solutions for impactful business use cases for clients, leveraging advanced analytics and machine learning.- First member of the Data Science practice for Deloitte India’s Risk Function - built the DS team from ground up.- Hired the right people for the right role building a… Show more - Reporting into the Partner, Managed a portfolio of marquee client accounts with its P&L ownership implementing Advanced analytics, AI/ML, Data science and vanilla Analytics projects.- Engineered data science solutions for impactful business use cases for clients, leveraging advanced analytics and machine learning.- First member of the Data Science practice for Deloitte India’s Risk Function - built the DS team from ground up.- Hired the right people for the right role building a very strong DS team.Key Achievements & Strategic Initiatives:1. Conceptualized a 'Preventive Analytics' solution that leverages ML for root cause discovery and generates risk alerts to prevent control lapse streamlining inventory management process for an FMCG major attributing a potential saving of ₹Xcr+. Solution POV link below.2. Spearheaded a major client win as the first credential in Advanced Analytics/DS space for Risk function. Devised a Project risk and decision support solution predicted project delays, its root causes & potential financial impact. Project success opened up a further project pipeline of ₹Xcr+. 3. Defined, experimented and developed several POCs for exploring its potential viability and value. Key POCs: - AI enabled anomaly detection in Travel & Expense, Payroll & Accounts functions, - Audit prioritization - ML based risk assessment for audit planning, - Fraud detection and prevention in chemist discount claims for a large Pharma manufacturer, - NLP based TDS compliance control4. Undertook successful eminence at business forums engaging on topics like Audit in digital future, Risk Intelligence, Future of Controls, Algorithmic Risk, etc. 5. Democratized analytics firmwide by training/enabling functional professionals on Power BI for basic reporting capability build (900+ professionals). Successful adoption of 82% recorded. Show less

• CRM/Loyalty: Client site development and implementation of a critical analysis for a large coalition Loyalty program in Middle East, having commercial impact on client and its partners.  Standardized monthly report calculating rewards and its expiry based on a logic for ‘Actionable Customer Insight’ that can be used to enhance customer loyalty proposition. Presented to CFO and CCO in collaboration with client’s Insights Team.• Offshore delivery manager: Lead a team of… Show more • CRM/Loyalty: Client site development and implementation of a critical analysis for a large coalition Loyalty program in Middle East, having commercial impact on client and its partners.  Standardized monthly report calculating rewards and its expiry based on a logic for ‘Actionable Customer Insight’ that can be used to enhance customer loyalty proposition. Presented to CFO and CCO in collaboration with client’s Insights Team.• Offshore delivery manager: Lead a team of analysts to provide Business consulting & Analytics support to the Strategy and Market Insights team of a Fortune 500 Retail client in the US market Successfully executed projects of analyzing perception about the retailer to devise its two-year strategy roadmap, effectiveness of several ongoing campaigns across its stores and merchandising categories Using Competitive Intelligence identified headroom to increase Sales by over $200 Million across various product categories distributed over different geographies; this opportunity is used as directive tool for expansion Shopper Insights (CRM) Category Planning• Led a team to win an organization wide Data Challenge Competition to build and present the model which examines the H1B visa petitions and predicts its status for the applicant based on the historical visa-application data.• Collaborated extensively in creating proposals, pre-sales materials, case studies, POVs etc. with teams across organization for potential client wins. Show less

• Delivery manager: Led a team of 4 to develop a performance measurement and analysis framework for a US Healthcare client to optimize the performance of its SKUs and identify the key drivers of performance. Key Responsibilities: Structure business problems and work with the client team to design solutions that meet their needs Articulate and document project requirements and client meetings Communicate project results in the client’s business context Responsible for end… Show more • Delivery manager: Led a team of 4 to develop a performance measurement and analysis framework for a US Healthcare client to optimize the performance of its SKUs and identify the key drivers of performance. Key Responsibilities: Structure business problems and work with the client team to design solutions that meet their needs Articulate and document project requirements and client meetings Communicate project results in the client’s business context Responsible for end to end delivery of the project • Developed predictive models (response & conversion models) for various direct mail campaigns for focused targeting of prospects and better customer acquisition for an US based Insurance client: Built credit trigger model to predict prospect leads for focused targeting Develop a customer attrition model for identifying the customers who are likely to attrite Developed a framework for an early warning system which uses small signals emitted by the customers during their recent interactions to predict about to churn customers.• Collaborated with senior leadership for a Fortune 15 client win in Healthcare space for Fractal Analytics. Collaborated extensively in creating proposals, pre-sales material, case studies, POVs etc. with teams across organization for potential client wins. • Actively conducting organization wide training on Modelling 101/Effective Email writing/Visualization COE Show less

• SPOC for a global CPG client for their Consumer & Market Insights team (Japan market)  Client site experience: Onsite Analyst at Client’s Business office in Japan, to support client’s team to analyse the company’s performance, the business environment, and their competition for their annual budget review meetings.  Interacting with and understanding clients' business problems and defining the analytical approach to find solutions, including managing key deliverable - Ability to… Show more • SPOC for a global CPG client for their Consumer & Market Insights team (Japan market)  Client site experience: Onsite Analyst at Client’s Business office in Japan, to support client’s team to analyse the company’s performance, the business environment, and their competition for their annual budget review meetings.  Interacting with and understanding clients' business problems and defining the analytical approach to find solutions, including managing key deliverable - Ability to drill down analysis of key business problems, interpret results, generate insight and recommend strategies, including intermediate data analysis- Ability to analyse and condense complex data into a clear written report and to present a compelling argument - Extract / obtain data• Developed a Business intelligence platform for a Fortune 100 CPG major client, that enables business teams to access revenue management landscape and prioritize their strategies • Stabilized operations (Latin America) and reduced cycle time by 50% post transition  Built retailer level landscape assessment to help with pricing decisions Collaborated with multiple stakeholders (Solution manager, Service leader, business & financial analyst) ensuring relevance of the analysis• Analytics Solutions delivered for a Fortune 100 CPG major client which helped business achieve their goal: High Level Diagnostics: Category health check to identify Key Strategic Elements which represents the biggest revenue growth opportunities Price Corridor Analysis: Competitive price benchmarking to identify the right corridors to operate in to maximize share opportunity• Received a formal appreciation certificate from a Fortune 100 CPG major client for outstanding contribution: In enabling team to deliver an extremely huge amount, high value added and business relevant analysis in very short timing with great quality By demonstrating deep understanding and expertise in price corridor analysis Show less