Austine Akhenda

Results-driven Actuarial Science student with a strong background in statistics, risk analysis, and data-driven decision-making, seeking to contribute to insurance and reinsurance operations. Skilled in Python, SQL, and Excel, with hands-on experience in data collection, cleaning, and analysis to support business insights and performance improvement. Demonstrates a solid understanding of underwriting principles, risk assessment, and claims analysis, with the ability to translate complex data into actionable strategies.

Complemented by practical experience in customer service and digital marketing, bringing a well-rounded perspective on client needs and business growth. Highly analytical, detail-oriented, and motivated to apply actuarial and risk management expertise in supporting pricing, reserving, and risk mitigation within dynamic insurance and reinsurance environments.

Customer Service Representative at Nicolas Hardware products (2023-01 – 2023-08)

Developed digital social media and marketing strategies, supported data analysis operations, and participated in product development processes.

• Developed digital social media and marketing strategies that boosted sales by 7.5% from previous month.
• Helped Data analysts team to clean and analyze data and uncover insights.
• Participated in product development Processes.

AI powered Data analysis at Excelerate (2026-01 – 2026-03)

Analyzed claims data, cleaned and validated datasets, detected fraudulent claims, developed performance reports and dashboards, and automated reporting using SQL and Python.

• Analyzed claims data to identify trends in claim frequency, severity, and turnaround time, supporting risk assessment and reserve decisions.
• Cleaned, validated, and reconciled claims and policy datasets to ensure data accuracy, completeness, and regulatory compliance.
• Applied data analysis techniques to detect anomalies and potential fraudulent claims, supporting fraud prevention and loss reduction.
• Developed claims performance reports and dashboards using Excel and data visualization tools to track KPIs and inform management decisions.
• Extracted and analyzed claims data using SQL and Python to automate reporting, improve efficiency, and support data-driven claims handling.

Research intern at Yimbik Kenya (2026-01 – 2026-03)

Collected, cleaned, and analyzed research datasets to support evidence-based insights for development and policy projects. Conducted literature reviews and statistical analysis to identify trends and patterns.

• Collected, cleaned, and analyzed research datasets to support evidence-based insights for development and policy projects.
• Conducted literature reviews and desk research to synthesize findings and inform research objectives and methodologies.
• Applied statistical and data analysis techniques using Excel, SQL, and Python to identify trends, patterns, and key indicators.
• Developed research reports, briefs, and visual summaries to communicate findings clearly to technical and non-technical stakeholders.
• Supported monitoring, evaluation, and learning (MEL) activities through data validation, indicator tracking, and performance analysis.

BSc in Actuarial Science with Statistics – Moi university

Highschool Diploma – Kericho Day secondary school (2022-12)