Hlokomelang Rakojoana

Versatile data scientist with extensive experience in tech and data consultancy, innovation, performance engineering, risk, and banking. Proficient in transforming complex data into actionable insights and offering strategic project leadership. Enthusiastic about utilizing analytical skills and problem-solving expertise in a dynamic environment to drive data-driven decisions and deliver impactful outcomes for a progressive organization.

Motor Insurance Claims Fraud Detection

• Developed a machine learning model to identify fraudulent motor insurance claims, achieving an accuracy of 90% and reducing fraudulent payouts by 25%.
• Engineered features from claim descriptions and policy information and employed XGBoost algorithm for classification.

Pricing Model Enhancement

• Enhanced an existing auto insurance pricing model, resulting in a 5% increase in accuracy of premium predictions.
• Utilized advanced statistical techniques to incorporate new variables and refine rating factors.

Anti-Money Laundering (AML), Counter Financing of Terrorism (CFT), and Sanctions Dashboard:

• Developed a comprehensive dashboard for monitoring AML, CFT, and sanctions compliance.
• Integrated real-time data sources to automate suspicious transaction alerts.
• Enhanced user interface for easier data visualization and decision-making.
• Collaborated with compliance and IT teams to align features with regulatory requirements.
• Improved efficiency of reporting by 30% through automated workflows and analytics tools.

Customer Segmentation and Personalization 

• Analyzed customer data to segment policyholders based on demographic and behavioral attributes.
• Built a recommendation engine to personalize insurance offers, resulting in a 12% increase in policy uptake among targeted segments.