Emmanuel Ekwedike is a machine learning research scientist with strong data analytics skills. As a data scientist, his strengths help build better products and empower businesses to make sustainable decisions that increase profits and marketability.
Emmanuel graduated with a Ph.D. in Operations Research and Financial Engineering from Princeton University. During graduate studies, he developed love and passion for working on interdisciplinary real-life problems that involve decision making. Before attending Princeton University, Emmanuel earned multiple degrees in Applied Mathematics from the City University of New York.
Emmanuel frequently travels the world looking at different cultures for inspiration to build useful context around data. Understanding people helps to bring data to life and builds a global approach to data science. Besides, He enjoys working on meaningful projects that not only focus on addressing the client's needs but also have a social impact. His passion for data science stems from the ability to create tools, products, and services that solve real-life problems.
PhD in Operations Research and Financial Engineering, 2020
M.A. in Operations Research and Financial Engineering, 2017
M.S. in Applied Mathematics, 2015
B.A. in Mathematics, 2013