Param Dhillon, Ph.D.

Param Dhillon, Ph.D.

Senior Data Science Manager @ Tatari

About Param Dhillon, Ph.D.

Param Dhillon, Ph.D., is a Senior Data Science Manager at Tatari and the Owner of Data Scientific, both based in Los Angeles, California. He holds a Ph.D. in Chemical Physics from Harvard University and has extensive experience in data science and analytics.

Work at Tatari

Param Dhillon serves as the Senior Data Science Manager at Tatari. He has held this position since 2021, contributing his expertise in data science to enhance the company's analytics capabilities. His role involves leveraging data to drive decision-making processes and optimize advertising strategies. Tatari specializes in providing data-driven insights for television advertising, and Dhillon's background in data science supports the company's mission to improve client outcomes through advanced analytics.

Current Ownership of Data Scientific

Since 2014, Param Dhillon has been the Owner of Data Scientific, a company based in Los Angeles, California. Over the past decade, he has utilized his extensive knowledge in data science and analytics to guide the company's operations. Data Scientific focuses on providing data-driven solutions to various industries, and Dhillon's leadership has been instrumental in establishing the company's reputation in the field.

Education and Expertise

Param Dhillon holds a Ph.D. in Chemical Physics from Harvard University, where he studied from 2002 to 2007. He also earned a Master of Arts in Physics from Harvard University between 2002 and 2004. Prior to that, he completed a Bachelor of Science in Chemistry and Math at the University of California, Berkeley, from 1998 to 2002. This strong educational background provides him with a solid foundation in scientific principles and analytical methods, which he applies in his professional roles.

Previous Experience at TrueCar, Inc.

Before his current roles, Param Dhillon worked as a data scientist at TrueCar, Inc. from 2010 to 2011 in Los Angeles, California. During his tenure, he focused on data analysis and modeling to support the company's objectives in the automotive industry. This experience contributed to his development as a data professional and prepared him for subsequent positions in data science management.

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