​​ADEI INSTITUTE X GOOGLE Developers
MACHINE LEARNING BOOTCAMP 

Adei Institute of Technology is delighted to support the Tech & Career Talk portion of the Google SSA ML Bootcamp which gives participants the opportunity to engage with industry experts and receive guidance as they begin their careers in data science and machine learning.

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​Tech & Career Talk Series.

Founder and CEO - AMT Technologies

Jonathan Kola

Currently the Founder & CEO at AMT Technologies - a company that uses machine learning (specifically image techniques and computer vision) to build its Artificial Intelligence powered driver assistance system that anticipates driver behavior, reduces collisions, and saves lives on the road.

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Head of Data Science, Global Server Operations at Google

Fatih Koca
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Currently the Head of Data Science, Global Server Operations at Google with 15+ years of experience in Product Analytics, Marketing Analytics, Experimentation, Data Science from roles at Meta, MixPanel, Ebay and more.

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Your Data Science journey continues here...
​​2023 DATA SCIENCE FELLOWSHIP : Register Now!

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​Meet our Experts!

Data Scientist, Relias Health, formerly at IBM

Virginia Gwengi

Currently a Data Scientist at Relias Health U.S. with past experience working as a data scientist at the U.S. Census Bureau, IBM & Biostat Solutions, Inc. 8 years of experience in professional data manipulation and visualization, applying ML algorithms in different components of the healthcare space and using web crawling and scraping to increase data collection efficiency.

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Co-founder and CEO of Blossom Academy

Jeph Acheampong

Currently the Co-founder and CEO of Blossom Academy in Ghana, which focuses on building data scientists and machine learning experience. Previously worked as a data solutions consultant with Experian NY.

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Staff Software Engineer, Google

Sylvia N'guessan

Currently a Software Engineer at Youtube (Google) with previous engineering experience working with Yammer and Cisco Systems. Major ongoing experience within the Machine Learning in relation to logging data for ML ingestion.