Predictive analytics & ML
Churn, recommendations, segmentation, forecasting, risk and interpretable predictive models.
Industry consultant
Predictive analytics, statistical modelling, client advisory and analytical capability building for organisations that need evidence they can act on.

Consulting profile
I bring more than a decade of experience across data science, statistical consulting, analytical training and academia. My industry work has addressed customer churn, recommendation systems, intelligent e-commerce, proactive hazard alerting, market modelling and executive decision support.
I work across the analytical lifecycle—from clarifying the decision and assessing data quality to modelling, validation, interpretation and stakeholder communication.
Discuss a consulting needConsulting capabilities
Churn, recommendations, segmentation, forecasting, risk and interpretable predictive models.
Research design, methodology, analysis, validation, interpretation and reporting.
Market models, business intelligence and action-oriented presentations for leaders.
Practical SAS, R, Python, data-mining and predictive-analytics training.
Selected industry experience
Led teams developing customer-churn prevention, retail recommendation, intelligent e-commerce and proactive HSE hazard-alerting solutions. Developed market models and communicated consultative direction to clients and stakeholders.
Led analytical projects, supported marketing, finance and business-development teams, and converted model results into recommendations for tactical and strategic planning. Developed client churn models with documented accuracy of at least 85%.
Led an eight-person analytical team, advised on statistical methodologies and trained professionals from banking, telecommunications and academia in SAS, business analytics and predictive modelling.
Typical engagements
Advisory: clarify the question, evaluate available data and define an analytical approach.
Project delivery: manage the workflow from data review to a decision-ready presentation.
Embedded analytics: collaborate with an internal team on modelling, validation or strategy.
Training: develop capability around your tools, data and operational context.
Start a conversation
Available for selected statistical consulting, predictive analytics, biostatistics and analytical training engagements.
ifeoluwa.oladapo@gmail.com ↗