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DRAKA Labs

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Graduate Researchers

PhD, MPhil, and MSc researchers.

Richard Gidi

Richard Gidi

Data Scientist, Senior Data Analyst and Applied Machine Learning Researcher

Data Scientist, Senior Data Analyst and Graduate Researcher whose work focuses on transforming complex data into predictive models, decision intelligence and practical analytical systems.

  • Data Science
  • Predictive Analytics
  • Time-Series Forecasting
  • Machine Learning
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Harry Poku

Harry Poku

MSc Data Science Researcher, University of Ghana

MSc Data Science student at the University of Ghana and a Graduate Researcher at DRAKA Labs with a professional background in Information Technology and enterprise systems.

  • Graph Neural Networks
  • Social Network Analysis
  • Demand Forecasting
  • Supply Chain Analytics
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Emmanuel Asiedu Yeboah

Emmanuel Asiedu Yeboah

Data Scientist, Cybersecurity Analyst and Web Developer; Senior Technical Officer, MIS Division, CSIR Ghana

Council for Scientific and Industrial Research (CSIR), Ghana · 5+ years

Data Scientist, Cybersecurity Analyst, Web Developer and Graduate Researcher investigating how information, behaviour and disease propagate through complex interconnected systems, and how secure digital infrastructure can translate those models into practical applications.

  • Data Engineering
  • Cybersecurity
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Kameta Oghenetega Samuel

Kameta Oghenetega Samuel

MSc Data Science Researcher and Applied AI Builder, University of Ghana

MSc Data Science researcher at the University of Ghana working at the intersection of data science, Artificial Intelligence and real-world African infrastructure challenges, combining computational modelling with a strong engineering, build-and-deploy orientation.

  • Urban Data Science
  • Anomaly Detection
  • Real-Time Data Systems
  • Applied Machine Learning
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Theresa Sackey

Theresa Sackey

MSc Data Science Researcher, University of Ghana

MSc Data Science student at the University of Ghana and a Graduate Researcher at DRAKA Labs exploring how Artificial Intelligence and Machine Learning can be applied to consequential real-world problems affecting people, businesses and developing economies.

  • Machine Learning
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Ibrahim Kwaku Gyimah

Ibrahim Kwaku Gyimah

MSc Data Science Researcher, University of Ghana; Life Scientist and Medical Entomology Researcher

MSc Data Science researcher at the University of Ghana whose work bridges life sciences, medical entomology, Artificial Intelligence and public health data science.

  • Multi-Modal Machine Learning
  • Data Fusion
  • Explainable AI
  • Predictive Analytics
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