Personal Details

Results-driven and detail-oriented data science graduate student with a strong foundation in data engineering, cloud computing, software engineering, and IT infrastructure. Demonstrated ability to design, build, and deploy scalable systems that enhance performance, efficiency, and security. Passionate about applying AI to develop innovative, reliable, and user- focused solutions. Known to be curious, adaptable, and collaborative, with a commitment to continuous learning.

Education

2024 - 2026        Duke University
MSc. Interdisciplinary Data Science (underway)

2016 – 2018        Virginia Polytechnic Institute and State University (VirginiaTech)
MIT. Information Technology

2001 – 2005        Kwame Nkrumah University of Science and Technology, Ghana
BSc. Computer Engineering

Ongoing Training & Learning

Self Learning: AWS Machine Learning Associate certification
Udacity: AWS-sponsored AI Scientist Nanodegree
AWS Cloud Institute: Cloud Application Developer track (Summer 2025 Cohort)

Professional Membership

Institute of Electrical and Electronic Engineers
National Society of Black Engineers
Turing Engineer (Turing.com) – July 2022

Languages and Operating Systems

Computer Languages and Frameworks .
Python, C#, Java, Spring Boot, ASP.Net, CSS, SQL, Javascript C/C++, Assembly, PHP and other languages when necessary React, Nodejs, GraphQL

Human Languages
Fante, English, Twi

Operating Systems Experience and Application development
Windows Desktop, Windows Server, Linux, Mac OS, Android, IOS

Some hardware I’ve integrated, using their SDKs

• Canon Cameras
• Thales/Greenbit Fingerprint Scanners
• Futronic Fingerprint scanners
• Suprema Fingerprint Scanners
• Wacom Signature Pad
• Topaz Signature Pad
• Desko Passport Readers
• Star Receipt Printers
• NXP ePassport Chip