United States
AI & Analytics Leader with 17+ years of experience shaping strategic decisions for Fortune 100 organizations like Google, American Express, Apple, Citibank and the NFL. Proven track record in delivering measurable outcomes by building cutting-edge AI, ML and advanced analytics solutions across marketing, product development and customer service workflows. Passionate about building dynamic, high-performing teams to deliver global internet scale solutions that touch millions of customers and influence $1Bn+ revenue lines ✅ Lead a global team of data scientists, product managers, digital analysts and behavioral scientists, employing a hands-on, player-coach style ✅ Partnered with a Fortune 50 global technology organization to decode customer behaviors and optimize engagement on OEM site by developing a portfolio of AI, ML and advanced analytics solutions touching 1B+ annual visits and driving $500M+ incremental sales ✅ Developed email personalization system for leading retail bank using advanced machine learning modules embedded within an LTV optimization system, delivering 10% higher email engagement and 5% reduction in opt-out rates for 30M customers ✅ Collaborated with major sports league to improve fan experience at stadiums using advanced ML based voice of customer solution impacting 15M annual attendees across 30+ stadiums ✅ Demonstrated exceptional math and science aptitude, securing the 54th position out of 300K aspirants to study at the prestigious Indian Institute of Technology, Bombay
Leading data science and analytics initiatives with Fortune 100 organizations in Technology and Financial Services Managing global team of data scientists, analysts, behavioral researchers and project managers Product owner: AIDE (patented digital friction detection solution), CALLEX (voice of customer analytics solution) Key Outcomes: • Helped a global tech organization decode customer behaviors on their retail website. Developed machine learning and advanced analytics solutions to segment 500M visitors and pinpoint friction points, generating 50+ A/B test hypotheses • Spearheaded the design and construction of a robust Natural Language Processing (NLP) Pipeline, incorporating complex techniques such as BERT Q&A, Affinity Clustering, and Sentence Transformers, to deliver automated unsupervised granular theme discovery from complaint transcripts, dramatically enhancing the customer experience • Designed multi-arm, personalized experiments to drive a 20% increase in user engagement for a professional development app by contacting users at the right time with individually personalized notifications identified using machine learning
Led analytics and ML driven transformation projects for Fortune 100 companies across Sports, Entertainment, Telecom, Financial Services, Insurance and Logistics Key Outcomes: • Led the development of marketing email personalization program, crafting a suite of ML based solutions to determine the right frequency, content and timing for 500M annual emails, increase email engagement by 10% and reducing unsubscribes by 5% • Created a Fan360 segmentation strategy for a 30M+ customer base utilizing clustering and forecasting to decode current behaviors and evolution over time, helping influence long term marketing strategy • Achieved $6M+ in net impact value savings by constructing a fraud/abuse detection and migration strategy to mitigate live entertainment ticket leakage to black marketers • Enhanced the retention menu design by aligning incentives with customer value, and implement experiments within contact center, resulting in a significant cost-saving of $15M+ in lifetime value • Established an experimentation lab to conduct eCommerce experiments at scale with a mix of people (experimentation data scientists), tools (sample size, opportunity estimation, results analysis calculators) and processes (pre-launch validation, post-launch inference and results library). Conducted roadshows and training workshops to drive adoption across the organization