Marcel Okorie

Lead analytics initiatives across transport datasets, analyzing 100k+ data points monthly to achieve 97% accuracy in fare evasion detection. Designed and maintained Power BI dashboards and developed R-based ETL pipelines, cutting turnaround times by 80%.

Designed and delivered analytics infrastructure, including ETL pipelines and reporting systems. Developed a machine learning model that increased sales revenue by 20% and doubled the customer base through data-driven insights.

Directed a team of 15 staff, introducing data-driven workflow improvements that improved processing time by 70%. Reduced claims errors by 15% via semi-automated claims validation procedures and led actuarial and reinsurance analysis, improving claims recovery by 30%.

Co-developed stress testing models and methodologies for life portfolio risk assessment. Delivered sensitivity and scenario analysis reports for executive decision-making.

Managed actuarial reserving, asset-liability modelling, and profitability reviews. Collaborated with consulting actuaries on product development and reserving strategies, and introduced SQL and R into actuarial workflows.

Designed a semi-automated underwriting model, increasing processing speed by 1.5x. Streamlined claims process, cutting turnaround time by 85% and boosting revenue by 6%.

Master of Science in Data Analytics from Dublin Business School, completed in 2023.

Master of Science in Actuarial Science from the University of Ibadan, completed in 2010.

Bachelor of Science in Insurance and Actuarial Science from Imo State University, completed in 2005.