Mehmet Seflek
About Mehmet Seflek
Mehmet Seflek is a Data Scientist at neo.tax in Mountain View, California, where he has worked since 2020. He holds a Master in Public Administration from Harvard University and a PhD in Business and Public Policy from UC Berkeley.
Work at Neo.Tax
Mehmet Seflek has been employed as a Data Scientist at neo.tax since 2020. His role involves leveraging data analysis to enhance the company's tax solutions. Located in Mountain View, California, he contributes to the development of innovative approaches in tax technology. His tenure at neo.tax has spanned four years, during which he has applied his expertise to support the company's mission.
Education and Expertise
Mehmet Seflek holds a Master in Public Administration in International Development from the Kennedy School of Government at Harvard University, where he studied from 2012 to 2014. He also earned a PhD in Business and Public Policy from the University of California, Berkeley, completing his studies from 2016 to 2021. Additionally, he obtained a Bachelor of Arts in Economics from the University of California, Berkeley, from 2005 to 2009.
Professional Background
Prior to his current position, Mehmet Seflek worked as a Research Fellow at the Center for International Development at Harvard University from 2014 to 2016. He was involved in the Evidence for Policy Design Program during this time. Earlier in his career, he served as an Economic Research Analyst at ACTECON Competition & Regulation Consultancy for 11 months in 2010. He also held positions at Charles River Associates, first as an Analyst from 2010 to 2011 and later as an Associate from 2011 to 2012.
Research and Analysis Experience
Mehmet Seflek has significant experience in research and analysis. His role as a Research Fellow at Harvard's Center for International Development allowed him to engage in policy design and evaluation. His earlier positions at Charles River Associates involved economic analysis, contributing to his understanding of competition and regulation. This background supports his current work in data science, where analytical skills are essential.