Journey so far

“Learning never exhausts the mind.” — Leonardo da Vinci

🎓 Education

MPS in Informatics
Northeastern University, Canada
2024 – Present
Concentration: Data Science & Health Analytics

MPhil in Computer Science
University of Energy and Natural Resources
2021 – 2023
Focused on Artificial Intelligence and Software Engineering.

BSc in Information Technology Education
University of Education, Winneba
2016 – 2020
Blended Computer Science with Pedagogical Technology.

💼 Professional Experience

Retail Specialist (Part-Time) – Freedom Mobile Inc.
August 2024 – Present
  • Deliver tailored mobile solutions by analyzing customer usage data and identifying cost-effective plans.
  • Utilized recommendation systems to suggest optimal mobile plans based on usage patterns and customer preferences.
  • Assisted in optimizing inventory levels by maintaining sales data reports and stock turnover analysis.
Research & Data Analyst – UENR (Computer Science Department)
February 2022 – January 2024
  • Conducted in-depth statistical analysis using Python (Pandas, NumPy) to support institutional research.
  • Designed and implemented convolutional neural networks for gestational diabetes prediction, achieving 83% diagnostic accuracy to support early intervention and maternal healthcare decision-making.
  • Prepared reports and executive summaries to present findings to faculty and research teams.
Data Analyst – Ghana Statistical Service (Co-led, Remote)
June 2021 – September 2023
  • Leveraged SQL and Python to identify data patterns and trends to support evidence-based policymaking.
  • Applied machine learning algorithms, including random forests and neural networks, to predict infrastructure project outcomes and optimize resource allocation.
  • Created interactive dashboards using Tableau and Power BI to present survey findings for stakeholders.
Science, Math & IT Educator – Multiple Educational Institutions
January 2013 – April 2024
  • Delivered STEM-focused instruction (Science, Mathematics, ICT) across junior and senior high levels using interactive digital platforms.
  • Integrated learning management systems (Google Classroom, Microsoft Teams) to enhance blended learning.
  • Applied data analysis tools (Excel, Python basics) to demonstrate real-world problem solving in math and science.
  • Mentored students in practical ICT skills such as MS Office Suite, coding fundamentals, and responsible digital literacy.