• Developed a predictive model (RPM) which predicted with 92% accuracy the propensity that a customer will perform an ROU transaction. With sufficient CVM approaches, the bank recorded a 35% cut on ROU costs.• Developed a predictive model that helps determine the propensity for customers to renew debit cards upon expiry, the deployment of this model into production with the accompanying CVM intervention helps increase the renewal rate by 27%.• Slashed customer churn rate by 40% by applying business risk models which increased revenue by 8%.• Identified opportunities with data profiling which activated high-profit customers by deploying data science models and building advanced analytics dashboards to track customer patterns.• With advanced analytics, I analyzed and visualized customers spending patterns (Spend Analytics), management and product development teams were able to introduce new products based on insights drawn, this has an incremental revenue of 5%.• Prepared reports with data visualization tools (Power BI, Think-cell, PowerPoint) to executive leadership that effectively communicated trends, patterns, and predictions using relevant data.• Automated the Extraction, Transformation, and Loading (ETL) process which accelerated data integration cycles by 70%.• Established Data warehouse, DataMart, and Analytical Data Stores which enhanced immediate analytics and BI reporting by 90%.• Conducted business analytics training for executives and top-level management.• Crafted technical proposals to major prospective financial institutions on solving a myriad of business problems with data analytics.Clients include FCMB (Bank), Coronation Merchant Bank (Bank), First Bank (Bank), Unity Bank (Bank), and eTranzact (Fintech).