Richard Gidi
Data Scientist, Senior Data Analyst and Applied Machine Learning Researcher
MSc Data Science and First-Class BSc Mathematics & Economics, University of Ghana; Data Scientist and Senior Data Analyst
- Research programme
- Data Science, Statistical Intelligence & Decision Systems
Biography
Richard Gidi is a Data Scientist, Senior Data Analyst and Graduate Researcher whose work focuses on transforming complex data into predictive models, decision intelligence and practical analytical systems.
He holds a First-Class degree in Mathematics and Economics and an MSc in Data Science, both from the University of Ghana.
His academic foundation combines mathematical and statistical reasoning with economics and modern computational methods, providing him with a strong basis for investigating complex problems involving prediction, uncertainty, interconnected systems and data-driven decision-making.
A significant part of his experience has been within Ghana's downstream petroleum sector, where he has developed predictive models for oil-price movements, client profiling approaches supporting commercial strategy, and analytical models supporting the timing of purchases and sales within volatile market conditions.
His analytical outputs have supported executive-level decision-making, giving him practical experience in an important research problem: how to move from data and predictive models to decisions made under uncertainty.
Beyond the energy sector, Richard has delivered AI and data-science solutions for local and international clients across energy, e-commerce and financial services, spanning time-series forecasting, predictive analytics, automated data pipelines, machine learning and production-oriented analytical systems.
At DRAKA Labs, Richard's research interests focus particularly on graph neural networks, advanced time-series forecasting and conformal prediction, with an emphasis on developing intelligent models that are not only predictive but also capable of expressing the uncertainty associated with their predictions.
Research interests
- Graph Neural Networks
- Advanced Time-Series Forecasting
- Conformal Prediction
- Uncertainty Quantification
- Predictive Analytics
- Decision Intelligence
- Applied Machine Learning
Research programme leadership
Data Science, Statistical Intelligence & Decision Systems
Applied domains
- Oil-price forecasting
- Commercial timing analysis
- Client profiling
- Executive decision support
- Admissions forecasting
- Student-population forecasting
- Revenue forecasting
- Resource-demand forecasting
- Anomaly detection
Professional expertise
- Data Science
- Predictive Analytics
- Time-Series Forecasting
- Applied Machine Learning
- Graph Neural Networks
- Conformal Prediction
- Data Engineering
- Analytical Applications
- Business Intelligence
DRAKA Labs responsibilities
- 01Contribute to DRAKA Labs research involving statistical intelligence, predictive modelling, machine learning and data-driven decision systems
- 02Develop research on graph neural networks for modelling interconnected economic and institutional systems
- 03Advance time-series forecasting methods for volatile, high-consequence environments
- 04Develop conformal-prediction and uncertainty-quantification approaches for decision-relevant analytical systems
- 05Build deployable analytical applications that make modelling outputs accessible to decision-makers
- 06Explore context-aware modelling grounded in African institutional and market data