Tite Yokossi
About Tite Yokossi
Tite Yokossi is a Data Scientist at QuantCo in Cologne, Germany, with a rich background in economics and data science, including previous roles at Analysis Group and MIT.
Current Role at QuantCo
Tite Yokossi currently works as a Data Scientist at QuantCo in the Cologne Area, Germany. He is involved in developing predictive analytics models, which have significantly improved client decision-making processes. Yokossi also mentors junior data scientists and economists through an internal program at QuantCo.
Previous Experience at Analysis Group
Tite Yokossi has a history of working at Analysis Group, where he served as an Associate from 2017 to 2019 in the Greater Boston Area. During 2016, he also worked as an Associate Intern at the same organization for 2 months in the Boston region, gaining invaluable experience in data analysis and economic consulting.
Academic Background at MIT
Tite Yokossi earned his Doctor of Philosophy (PhD) in Economics from the Massachusetts Institute of Technology, where he studied from 2012 to 2017. During his tenure, he worked as a Research Assistant to Simon Johnson and published a research paper on economic modeling. His academic efforts were recognized with an award for outstanding contribution to economic research from a notable academic institution.
Early Career and Internships
Earlier in his professional journey, Tite Yokossi gained experience through various internships. He served as a Risk Analyst at AXA in Paris in 2012, and as a Short Term Consultant in the Development Research Group at The World Bank in 2011. Additionally, he held internships at BNP Paribas in their Financial Model Team and Private Bank in 2010 and 2009 respectively in Paris.
Education and Qualifications
Tite Yokossi's educational background is grounded in Economics and Engineering. He earned a Master's in Economics from Paris School of Economics between 2010 and 2012. Prior to that, he achieved an Engineer's degree from MINES ParisTech from 2007 to 2010. He also studied at Lycée Louis le Grand from 2005 to 2007. His strong academic foundation laid the groundwork for his successful career in data science and economics.