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Lisha Wang

Head of Analytics, Google Play & Android T&S at Google
San Francisco, California, United States
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This public profile is provided courtesy of Clay. All information found here is in the public domain.
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Lisha Wang

Head of Analytics, Google Play & Android T&S at Google
San Francisco, California, United States
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Lisha Wang is an experienced data scientist and analytics professional with an impressive track record in guiding business decisions for top-tier organizations. With a diverse educational background in electrical engineering, operations management, and industrial engineering, Wang boasts a unique skill-set in combining technical expertise with analytical insights to build machine learning models and analytical solutions for various domains, including marketing, product, web, app, and customer analytics.

Wang's experience spans across multiple high-profile companies, including Google, Tile, Netspend, Travelers Insurance, FedEx Services, HP, and Chartered Semiconductor Manufacturing Inc. As the Head of Analytics for Google Play & Android T&S, Wang's role involves leveraging powerful tools such as SQL, Presto, Databricks, Spark, Python, R, Tableau, Qlikview, Airflow, Optimizely, and Google Analytics 360 to develop actionable intelligence that helps to optimize business performance. Before joining Google, Wang provided her analytics expertise to Tile as a Senior Manager, and Netspend as Manager of Predictive Analytics and Modeling.

Wang's career journey started as a Software Engineer II at HP, where she rose up the ranks to become a Senior Analyst at FedEx Services, analyzing customer data to provide insights to the company. Wang then moved to Travelers Insurance, where she held the positions of Senior Consultant and Associate, providing analytics and research insights to support business decisions.

Overall, Wang is a highly accomplished data analytics professional with experience in various domains and working with the latest tools and technologies in the field. Her skills in data science, analytics, and machine learning are highly valued in various industries, and her work is a testament to her dedication to continuous learning and development.

This public profile is provided courtesy of Clay. All information found here is in the public domain.