Shalini Pochineni
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Senior Data Scientist
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Shalini is a post graduate in management, with 9+ years of experience in data science, marketing analytics, risk management and operations solutions. Her functional strengths include Machine Learning, Risk analytics, Marketing Analytics, Digital Fraud Detection & Prevention. She has experience working across financial and technology-based companies. |
Workshop: Open-sourced Propensity Model Package: From Modeling to Activation
May 25, 2022; 10:15-11:00am, PST
May 25, 2022; 10:15-11:00am, PST
A propensity model attempts to estimate the propensity (probability) of a behavior (e.g., conversion, churn, purchase, etc.) happening during a well-defined time period into the future based on historical data. It is a widely used technique by organizations or marketing teams for providing targeted messages, products or services to customers. This workshop shares an open-sourced package developed by Google, for building an end-to-end Propensity Modeling solution using datasets like GA360, Firebase or CRM and using the propensity predictions to design, activate and measure the impact of a media campaign. The package has enabled companies from e-commerce, retail, gaming, CPG and other industries to make accelerated data-driven marketing decisions.
Workshop: Open-sourced Propensity Model Package: Accelerating Data-Driven Decisions
April 27, 2022; 9:30-10:00am, PST
April 27, 2022; 9:30-10:00am, PST
A propensity model attempts to estimate the propensity (probability) of a behavior (e.g., conversion, churn, purchase, etc.) happening during a well-defined time period into the future based on historical data. It is a widely used technique by organizations or marketing teams for providing targeted messages, products or services to customers. This workshop shares an open-sourced package developed by Google, for building an end-to-end Propensity Modeling solution using datasets like GA360, Firebase or CRM and using the propensity predictions to design, activate and measure the impact of a media campaign. The package has enabled companies from e-commerce, retail, gaming, CPG and other industries to make accelerated data-driven marketing decisions.
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