Anubhavi Gupta is a visionary data science executive who has carved an influential path across the consumer analytics and AI landscape. With more than two decades of progressive experience, she is widely recognized for harnessing the power of artificial intelligence and machine learning to optimize customer journeys, amplify business performance, and drive innovation at scale. From major global corporations to academic platforms, Anubhavi stands at the intersection of strategy, science, and impact—fostering cultures of data-driven decision-making and personalization innovation.
Currently serving as Director of Consumer Data Science at Nike, Anubhavi leads a globally distributed team of 30 data scientists, machine learning engineers, and analysts. Her strategic oversight across Marketing and Membership data science solutioning has revolutionized how Nike personalizes the consumer experience. Under her leadership, Nike improved customer engagement by 25% through sophisticated segmentation and recommendation techniques and saw an 18% lift in e-commerce conversions through her work on personalized content engines. She also introduced agile methodologies to data science workflows, improving team productivity by 40% and accelerating project timelines by 15%. Her initiative to integrate generative AI models for product copywriting further elevated the team’s efficiency and positioned Nike at the forefront of AI-led retail innovation.
Prior to Nike, Anubhavi held the role of Vice President and Head of Data Science & Analytics at Epsilon, where she spearheaded AI-powered “Precision Targeting” solutions for automotive and telecom clients. Her leadership enabled a 2X return on investment for digital campaigns, while her implementation of automated, scalable classifiers led to a 45% improvement in operational efficiency and $1.5 million in cost savings. She orchestrated over 35 machine learning pipelines and championed cloud-based model deployments through Azure, reinforcing her technical depth and operational foresight.
Earlier in her career, Anubhavi held impactful roles at AT&T, dunnhumby, and Synchrony (formerly GE Consumer), where she built foundational recommendation engines, churn models, and CLTV optimization systems. Across these roles, her data science ingenuity consistently yielded tangible business outcomes—such as reducing churn rates by 20%, increasing forecasting accuracy by 25%, and boosting loyalty program profitability by 7%.
Beyond the corporate sphere, Anubhavi is committed to cultivating the next generation of data leaders. She currently serves as an Adjunct Professor at the University of Georgia, where she teaches “AI in Retail,” and is an active mentor with organizations like Women in Data Science (WiDS), AnitaB.org, and Correlation One. She is also a noted thought leader and speaker at industry conferences and contributes to the Advertising Research Foundation’s Measurement Council, having received accolades for her work on MMM and MTA measurement frameworks.
Anubhavi holds a master’s degree in Operational Research with a specialization in Econometrics from the University of Delhi, along with a bachelor’s degree in Statistics. She further enhanced her expertise with a Data Science and AI certification from Emory University. Her technical arsenal includes deep proficiency in Python, SQL, Databricks, and a range of analytics platforms including Tableau and Power BI. Her areas of specialization span GenAI deployment, demand forecasting, customer lifetime value modeling, price optimization, recommendation engines, and marketing mix modeling.
A bold strategist and empathetic leader, Anubhavi Gupta is not only shaping the future of data science in consumer industries but also setting a benchmark for how technological excellence can seamlessly integrate with human-centered design to unlock meaningful, measurable growth.
Character
Anubhavi Gupta exemplifies integrity, resilience, and inclusivity in every leadership role she assumes, consistently championing team empowerment, mentorship, and a data-driven culture grounded in purpose and accountability.
Knowledge
With over two decades of experience in data science, Anubhavi brings deep expertise in AI, machine learning, personalization, and business optimization, leveraging technical mastery and academic rigor to design solutions that deliver measurable impact.
Strategic
Anubhavi’s strategic mindset is evident in her ability to lead cross-functional global teams, scale innovative AI solutions, and align data initiatives with overarching business goals that drive growth, efficiency, and customer engagement.
Communication
She communicates complex ideas with clarity and influence, adeptly translating data insights into actionable strategies and fostering alignment among stakeholders across technical, executive, and educational environments.
