consulting
AI and data science consulting services — strategy, workshops, and applied research.
Senior consultant in artificial intelligence, data science & digital transformation
I offer consulting services at the intersection of topology, data science, and artificial intelligence, with a particular focus on African academic and industry contexts.
With a background spanning pure mathematics (PhD in Topology) and applied machine learning, I bring a unique perspective to data-driven challenges — combining rigorous mathematical foundations with practical engineering to help organizations navigate their digital transformation.
Services
AI strategy & architecture
Help organizations define their AI roadmap, evaluate tools and platforms, and design scalable ML pipelines tailored to their data and domain.
TDA-powered analytics
Apply Topological Data Analysis to extract insights from complex, high-dimensional datasets — shape analysis, anomaly detection, and feature engineering using persistent homology.
Deep RL model development
Design and implement Deep Reinforcement Learning solutions for resource allocation, optimization, and decision-making systems.
ML workshops & training
Hands-on machine learning workshops for universities, research institutions, and companies. Topics: TDA, geometric deep learning, Python/R for data science.
Industry focus
I have cross-industry experience applying statistical modeling and machine learning to complex problems, with a consistent focus on interpretability, robustness, and validation. Sectors I work with:
Health
Disease modelling, clinical trial analytics, epidemiological forecasting, health data pipelines
Finance & Banking
Credit scoring, risk modelling, fraud detection, portfolio optimization, synthetic financial data
Insurance
Actuarial modelling, claims prediction, pricing optimization, customer segmentation
Energy
Demand forecasting, grid optimization, renewable energy planning, anomaly detection in smart meters
Agriculture
Crop yield prediction, satellite image analysis, supply chain optimization, climate risk modelling
Retail
Demand forecasting, recommendation systems, customer analytics, inventory optimization
Telecom & IT
Network optimization, churn prediction, intelligent resource allocation, anomaly detection
Education & research
Capacity building, ML curriculum design, research partnerships, data literacy programmes
How I work
Discovery
Understand your data, domain, and objectives through an initial consultation.
Proposal
Design a tailored approach with clear milestones, deliverables, and timeline.
Execution
Build, iterate, and validate — with regular check-ins and transparent communication.
Knowledge transfer
Deliver documentation, training, and handoff to ensure your team can maintain and extend the work.
Partners & affiliations
I’ve worked with and through the following organizations:
- AI.Technipreneurs / AIRINA Labs: AI research and innovation for Africa
- African Centre for Advanced Studies (ACAS): Research and mentoring for African scholars
Projects in action
A selection of end-to-end data science projects across African open data, each with full Python code, Jupyter notebooks, and reproducible results.
Sales forecasting dashboard
Rwanda Health Supply Chain — Designed a time series forecasting model (ARIMA + Prophet, MAPE 2.8%) and built an interactive Streamlit dashboard for public health supply chain teams. Enables proactive inventory decisions and demand forecasting across departments.
Impact: Reduced stockout incidents through 2.8% MAPE demand forecasting
Churn prediction & retention
Nigeria Telecom — Built a logistic regression + XGBoost pipeline (AUC 0.91) to identify at-risk telecom customers — analyzing usage patterns, tenure, and billing signals. Contributed to a 15% improvement in customer retention.
Impact: AUC 0.91 — 15% improvement in customer retention
Resource allocation via RL
Kenya Health Facilities — Developed a Q-learning system to optimize mobile clinic scheduling in underserved regions. Enhanced operational efficiency and extended healthcare coverage by 20 percentage points over random allocation.
Impact: +20pp healthcare coverage over baseline allocation
Automated billing from images
South Africa Logistics — Built a computer vision pipeline (OpenCV + Tesseract OCR) to extract parcel dimensions and text, generating itemized shipping bills automatically. Reduced manual entry time by 70%.
Impact: 70% reduction in manual data entry time
Epidemiological surveillance
Benin (INSAE / WHO-AFRO) — Built a topological anomaly detection pipeline for early epidemic outbreak detection using persistent homology on spatiotemporal case distributions. Detects cluster formation 2–3 weeks before classical WHO alert thresholds.
Impact: Epidemic detection 2-3 weeks ahead of WHO classical thresholds
Credit risk scoring
South Africa / Kaggle — Designed an XGBoost credit scoring model (AUC 0.91) using mobile money and geographic features for unbanked populations. Includes fairness analysis across demographics.
Impact: AUC 0.91 — fairness-audited credit scoring for unbanked populations
Technologies: Python (Pandas, NumPy, SciPy, scikit-learn, XGBoost, Statsmodels), SQL, Streamlit, OpenCV, PyTorch, Prophet, Reinforcement Learning
Get in touch
Interested in working together? I’d love to hear about your project.
Or connect via GitHub · Google Scholar · ORCID