About
About
Babs Olaniyi builds machine learning systems for healthcare AI, pricing, experimentation, and decision science.
I am a Data Scientist at Causal Foundry. My work combines statistical modeling, machine learning engineering, health analytics, business translation, and experimentation to help teams make better decisions from complex data.
What I Do
Applied machine learning
I design models for healthcare financing, provider performance, pricing, forecasting, churn, recommendations, user engagement, and operational decision support.
Experimentation and causal thinking
I use A/B testing, multi-armed bandits, survival analysis, reinforcement learning, and causal inference to understand behavior and design interventions.
Business translation
I convert ambiguous business questions into measurable data science problems, then communicate tradeoffs clearly to technical and non-technical stakeholders.
Data products
I build analysis pipelines, dashboards, and model workflows using Python, SQL, Spark, BigQuery, Databricks, MLflow, Airflow, and modern ML libraries.
Timeline
Data Scientist, Causal Foundry
Healthcare AI, claims analytics, provider-performance models, health financing decision support, anomaly detection, and production monitoring systems across large-scale healthcare data.
Senior Data Scientist, ZF Group
Pricing optimization, elasticity and uplift modeling, anomaly detection, customer pricing corrections, and production ML pipelines for commercial decision-making.
Data Scientist, Benshi AI
Demand forecasting, recommender systems, survival models, and mobile health engagement analytics for users in low- and middle-income markets.
Data and Business Intelligence Analyst, The Alchemist Atelier
Customer segmentation, churn modeling, revenue dashboards, acquisition analysis, and business intelligence for retail and e-commerce decisions.
Research Assistant, IAE CSIC
Built data collection and predictive modeling workflows using newspaper text to study political violence and conflict risk.
MSc Quantitative Economics
University of Paris 1 Pantheon-Sorbonne and Autonomous University of Barcelona, supported by an Erasmus Mundus scholarship.