Junior Data Scientist
• Successfully reduced customer churn rates by 40% by implementing advanced clustering techniques in python to identify and address key factors influencing customer retention.• Developed and deployed predictive models for driver fraud detection, reducing fraudulent drivers by 30%• Reduced rider complaints by 20% by using decision tree and random forest models to analyse driver behaviour on a weekly basis.• Designed and implemented data models utilizing Excel macros, which… Show more • Successfully reduced customer churn rates by 40% by implementing advanced clustering techniques in python to identify and address key factors influencing customer retention.• Developed and deployed predictive models for driver fraud detection, reducing fraudulent drivers by 30%• Reduced rider complaints by 20% by using decision tree and random forest models to analyse driver behaviour on a weekly basis.• Designed and implemented data models utilizing Excel macros, which streamlined the reporting process and achieved a 20% reduction in time required for weekly and month-end reports.• Coordinated cooperate category launch in Abuja, which resulted in +12k rides on the first day.• Utilized SQL queries to retrieve and manipulate data from relational databases, optimizing data extraction processes for efficient analysis. Show less