Kwame Edjah

Data Engineer (Consultant)

Cincinnati, Ohio, United States
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Summary

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Senior
🎓
Top School
Kwame Edjah is a data engineer and deep learning researcher with eight years of experience building data-driven systems across finance, utilities, and public-sector programs. Currently consulting on Guidehouse’s New York State ERAP project, he blends production data engineering skills with academic rigor from ongoing PhD research in deep learning for signal processing and communications at the University of Cincinnati. His background spans Oracle and Hadoop ecosystems, PL/SQL and ETL work, and earlier hardware-focused roles in RF chipset verification and power systems engineering, giving him a rare full-stack perspective from silicon to cloud. He has taught and led workshops on Python, MATLAB, GitHub, and data visualization, demonstrating a talent for translating complex technical concepts to practitioners. Comfortable moving between legacy enterprise stacks and modern ML workflows, he’s especially adept at turning noisy signal data into actionable insights. Based in Cincinnati, he combines practical delivery on government-scale projects with active research that informs his engineering approaches.
code8 years of coding experience
job7 years of employment as a software developer
bookMaster's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at University of Cincinnati
bookBachelor of Science (B.Sc.), Electrical and Electronics Engineering, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering at Kwame Nkrumah' University of Science and Technology, Kumasi
languagesEnglish
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Github Skills (2)

python5
machine-learning4

Programming languages (2)

JavaScriptJupyter Notebook

Github contributions (5)

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Contributions:35 pushes, 1 branch in 2 months
ken7gh/Intermediate_Python

Jun 2019 - Aug 2019

Contributions:16 pushes, 1 branch in 2 months
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Kwame Edjah - Data Engineer (Consultant)