This is the second part of my interview with Emi Harry as part of my Interview Series. In it, she discusses her experiences of racial discrimination in data science as a black woman, how she manages her dual background in data science and fashion, and how she leverages her storytelling and communication skills as a data scientist. If you would like to start at the beginning of my interview with her, click here.
Links to the other two parts of the interview:
Emi Harry is the co-founder of Naina Tech Inc., a New York-based tech startup that is poised to launch an adaptive learning platform for early childhood education in the U.S. and Nigeria’s underserved communities. As a highly skilled data scientist and social entrepreneur, Harry is also on the board of Alula Learning, an EdTech learning management systems provider, and Manna, a health and nutrition company, both in Nigeria. She has had a diverse professional experience, having worked in the food, oil and gas, entertainment, and fashion industries in Nigeria, as well as the entertainment, non-profit, and education industries in the United States. Currently, she balances her time between working in tech, creative writing, and fashion designing.
Her educational qualifications include B.S. in Mathematics, University of Lagos, Nigeria; Master’s in Social Entrepreneurship, Hult International Business School, San Francisco; M.Sc. in Data Analytics/Science, Fordham University, New York, and is on track to earn a M.Sc. in Computer Science from Pace University New York.
To learn more about Emi Harry, check these out: