A little background
About me
My background is in statistics, data science, and machine learning. I build models, design experiments, and develop decision tools across healthcare, supply chains, pricing, and digital products.
Career path
01Data Scientist, Causal Foundry
My work spans national medical supply chains, health financing, and facility operations.
- Build demand-forecasting models and procurement recommendations to support supply planning.
- Lead the capitation payment methodology, supported by analysis of claims and facility behaviour.
- Develop provider-performance and anomaly-detection workflows, working with engineers and domain experts to turn results into monitoring and decision tools.
Senior Data Scientist, ZF Group
Developed pricing-optimization, elasticity, uplift, and anomaly-detection systems for commercial decisions across a large industrial portfolio.
Data Scientist, Benshi AI
Built demand forecasts, survival models, recommender systems, and adaptive experiments for healthcare workers and pharmacy networks.
Data & Business Intelligence Analyst, The Alchemist Atelier
Built segmentation and churn models, revenue dashboards, and customer-journey analyses for retail and e-commerce decisions.
Research Assistant, IAE-CSIC
Built newspaper-text collection and predictive-modeling workflows to study political violence and conflict risk.
Expertise
02Research & decisions
Turn product and operational questions into experiments and causal analyses. Communicate findings with clear assumptions, uncertainty, and limitations.
Causal inference · Experimentation · Survival analysis · Forecasting · Bayesian modeling · Decision theory
Applied ML
Build and validate models for forecasting, risk stratification, personalization, and resource allocation, checking for bias and performance beyond the training data.
NLP · Recommender systems · Anomaly detection · Pricing optimization · Multimodal learning · Reinforcement learning
Data & production
Analyse complex longitudinal datasets, assess data quality, and build reproducible Python and SQL workflows. Partner with engineers and domain experts to put models into practice.
Python · SQL · PySpark · BigQuery · Databricks · MLflow · Airflow · Google Cloud · AWS · PyTorch · Scikit-learn
Education
03MSc Quantitative Economics
Université Paris 1 Panthéon-Sorbonne and Universitat Autònoma de Barcelona. Erasmus Mundus scholar.
BSc Mathematics & Statistics
Kwara State University. First Class Honours.
Recognition
04- ML Collective & Google Cloud Credit Award
- Google Africa Developer Scholarship
- Best graduating student, School of Statistics and Mathematical Sciences