Thierno Diallo
About Thierno Diallo
Thierno Diallo is a Data Scientist Associate at the Federal Reserve Bank of New York, where he has worked since 2017. He holds a Master of Science in Data Science and Engineering from The City College of New York and has a background in applied mathematics and computer science.
Work at Federal Reserve Bank of New York
Thierno Diallo has been employed at the Federal Reserve Bank of New York since 2017 as a Data Scientist Associate. In this role, he applies data science techniques to analyze complex datasets and support the bank's objectives. Prior to this position, he worked as a Data Analyst Consultant at the same institution from 2016 to 2017, where he contributed to various analytical projects. His experience at the Federal Reserve highlights his commitment to utilizing data for informed decision-making.
Education and Expertise
Thierno Diallo holds a Master of Science in Data Science and Engineering from The City College of New York, which he completed between 2019 and 2021. He also earned a Bachelor of Applied Science in Applied Mathematics from Université de Rouen from 2006 to 2010. Additionally, he obtained a Bachelor's degree in Applied Mathematics with a focus on financial science from City Tech, CUNY, from 2014 to 2016. His educational background provides a strong foundation in mathematics and data analysis.
Background in Research and Analysis
Thierno Diallo has a background in research and analysis, having worked as a Research Assistant at both City University of New York and Rutgers University. At City University of New York, he served from 2015 to 2016, and at Rutgers University, he worked for two months in 2014. These roles involved supporting research initiatives and contributing to data-driven projects, further enhancing his analytical skills.
Early Education and Academic Achievements
Thierno Diallo completed his high school education at Lycée kipe, where he studied Mathematics science and earned his high school diploma from 2003 to 2005. This early academic achievement laid the groundwork for his later studies in applied mathematics and data science, demonstrating his long-standing interest in quantitative fields.