Data Science with less than a year in data analysis & reporting.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Actuarial Science graduate from the University of Nairobi with hands-on experience in insurance data analysis, claims and premium processing, and actuarial reporting gained during a 3-month internship at Kenbright Actuarial and Financial Services Limited. I have knowledge in Microsoft Excel and Power BI and actuarial principles such as UPR, GEP, DAC, LRC, risk premium, exposure, frequency, and severity analysis. Passionate about using statistical and financial modelling to drive data-informed decisions in the insurance and pensions sector.
University of Nairobi
Bachelor of Science · Actuarial Science
August 1, 2021 – June 30, 2025
Chogoria Girls High school
KCSE
June 1, 2016 – May 31, 2019
Kenbright Actuarial and Financial Services Limited
Actuarial Intern
January 1, 2026 – April 1, 2026
Kenya
Evaluation and Improvement of Retirement Income Adequacy in Kenya
January 1, 2025 – December 31, 2025
• Assessed the current state of retirement income adequacy in Kenya • Identified key factors contributing to pension inadequacy • Evaluated existing retirement schemes and proposed investment options and policy recommendations
Cultural Fit Analysis
The candidate's background is heavily focused on Actuarial Science, which provides a strong foundation in quantitative analysis and risk assessment. While this aligns with certain aspects of data science, the breadth of projects and experience outside of actuarial applications is limited. The academic project on retirement income adequacy is relevant to data-driven policy, but there's no explicit demonstration of diverse data science applications or exposure to different industry challenges. This suggests a potentially narrow initial scope for cultural fit within a broader data science team that might require diverse problem-solving approaches.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to data handling and analysis, as evidenced by their internship responsibilities. Their academic project indicates an ability to conduct research and propose solutions. However, the provided data does not offer sufficient insight into specific soft skills like teamwork, problem-solving under pressure, or adaptability in a dynamic work environment beyond the general description of an intern's duties.