Anil Sharma
About Anil Sharma
Anil Sharma serves as the Head of Data Science and Analytics at Truecaller, a position he has held since 2022. He has extensive experience in data science, having worked in various roles at companies such as H&M, Klarna, and CGI, as well as a strong academic background from The University of Western Australia.
Work at Truecaller
Anil Sharma currently serves as the Head of Data Science and Analytics at Truecaller, a position he has held since 2022. In this role, he leads the data science initiatives and analytics strategies for the company, focusing on enhancing data-driven decision-making processes. His expertise in data science is instrumental in driving Truecaller’s analytics capabilities.
Previous Experience in Data Science
Before joining Truecaller, Anil Sharma worked at Klarna as a Data Science Manager from 2020 to 2022. His earlier roles include serving as a Data Scientist at H&M from 2019 to 2020 and at CGI from 2017 to 2019. Anil's experience spans various sectors, where he applied advanced analytics solutions to improve business outcomes.
Educational Background
Anil Sharma completed his Bachelor of Science with Honours in Neuroscience at The University of Western Australia from 1997 to 2001. He further pursued a Doctor of Philosophy (PhD) in Neurobiology and Neurosciences at the same institution from 2005 to 2012. His academic background provides a strong foundation for his analytical skills in data science.
Research and Academic Roles
Anil Sharma has held several academic positions at The University of Western Australia. He was a PhD Candidate from 2005 to 2012 and worked as a Research Assistant from 1999 to 2000. Additionally, he served as a Tutor and Laboratory Demonstrator in Anatomy and Human Biology from 2006 to 2010, and as a Web Content Editor from 2006 to 2013, where he managed online content while telecommuting from Europe.
Postdoctoral Experience
Anil Sharma worked as a Postdoctoral Fellow at Karolinska Institutet from 2013 to 2017. This role involved conducting advanced research in the field of data science and analytics, further enhancing his expertise and contributing to his professional development.