Shriram Bhat
- Role
- Director of Data Science and Analytics at Udemy
- Location
- Palo Alto, CA, US
- LinkedIn followers
- 500 followers
About Shriram Bhat
Data Science and Analytics leader with 15+ years of experience in guiding businesses…
Experience
Director of Data Science and Analytics
Jan 2024 — Present
Growth Analytics and Experimentation • Oversee growth and marketing analytics, defining how user behavior, engagement, and retention are measured, instrumented, and interpreted. • Develop robust experimentation framework: that involves casual inference techniques using quasi-experiments, A/B testing frameworks, Casual inference - Geo lift studies, market matching, propensity-based models and regression analysis. • Establish, implement and champion one of a kind global and regional multi-million-dollar marketing spend allocation framework Develop and Deploy AI & ML Solutions • Design, train, and productionize predictive models that optimize retention, churn, lead scoring, and campaign personalization. Uplift modeling for product affinity, Predictive CLTV models, customer segmentation using supervised and unsupervised learning, media mix models and optimizers Enable Data-Driven Growth • Partner with Business, Marketing, GTM, Finance, Engineering, and Product teams on objectives for growth and retention. Shaping analytics and data science roadmap that aligns with the goals to drive outcomes. • Work on business strategy for improving LTV ROI with investment recommendations and impact assessment for new business initiatives Data Strategy and Reporting Infrastructure: • Create a forward-looking data strategy and roadmap based on key relevant pillars of data management - improving data reliability, data richness and metrics framework to better understand our user journey • Develop centralized reporting suite in Tableau, Looker for both exec and non-exec audience addressing questions ranging from high-level business health to root cause analysis with a high degree of self-serviceability, leveraging advanced design elements and functionality. • Collaborate with data platform, architects and engineers to ensure data accessibility, governance, quality and lineage, while improving reporting efficiency
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