Responsibilities include:

• Monitored the bank’s digital transactions on a day to day basis ensuring all processes run smoothly as stipulated.
• Spearheaded the development of an automated daily reporting system using R, ensuring timely and 100% accurate reports to management and internal staff for decision-making.
• Designed and implemented a Shiny-based debt collection application, optimizing debt collection data management and enhancing debt collection efficiency by 35%.
• Created an automated transaction monitoring tool for the Anti-Money Laundering (AML) team, facilitating proactive monitoring and significantly reducing fraudulent transactions.
• Developed and fine-tuned a credit scoring model using machine learning, achieving a 20% reduction in loss rates and enhancing credit offerings.
• Conducted customer segmentation analysis utilizing the K-means clustering technique to tailor targeted marketing messages to clients, resulting in a significant 30% increase in digital platform deposits.

Responsibilities included:

• Trained professionally students on using statistical packages R, Python, SPSS and Advanced Excel alongside offering statistical data analysis services to research students.
• Introduced quality data science and analytics training which increased the intake and revenue significantly.
• Proposed, designed and implemented a new student’s information management and tracking system database which improved efficiency in the office

While in this role I have learned a wide range of ML and programming tools.

• Built and published machine learning models (supervised and unsupervised) with high levels of accuracy.
• Built interactive visualization dashboard using R shiny package.