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Data Science with less than a year in Statistical Modeling & Python
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Assessing your cultural and operational fit
An Actuarial Science graduate and Data Scientist with practical internship experience at NHIF Headquarters. Specialized in using statistical modeling, Python, and SQL to analyze datasets and optimize operational workflows. Seeking to leverage a strong background in risk assessment and data integrity to ensure accurate, SLA-compliant claims management at Heritage Insurance.
InMySteps Foundation
Training · Professional Skills
April 1, 2026 – June 1, 2026
AFRICDSA
Specialization · Data Science
July 1, 2025 – March 1, 2026
Multimedia University of Kenya
B.Sc. · Actuarial Science
September 1, 2021 – October 1, 2025
Musingu School
KCSE · Secondary Education
January 1, 2017 – January 1, 2020
NHIF (Social Health Authority) Headquarters
Intern
May 1, 2024 – August 1, 2024
India
Insurance Agency Performance Analysis
June 18, 2026 – Present
• Evaluated Regression models for performance and pivoted to Random Forest to better capture non-linear relationships within corporate insurance agency datasets. • Applied K-Means Clustering to segment insurance agencies into three distinct tiers based on operational performance metrics to optimize resource allocation.
Forest Cover Prediction & Deployment
June 18, 2026 – Present
• Engineered a machine learning pipeline to analyze and predict forest cover types using non-linear datasets and Scikit-Learn. • Deployed the final pipeline as an interactive web application using Streamlit and GitHub for real-time interaction and predictive data quality testing.
Cultural Fit Analysis
The candidate's background in Actuarial Science combined with a Data Science specialization indicates a strong analytical mindset and a desire to apply quantitative skills to real-world problems. The projects demonstrate initiative in exploring different machine learning techniques and deploying solutions, suggesting a proactive and results-oriented approach. The internship experience in a public health authority shows an ability to work within structured environments and contribute to data-driven decision-making. The target role of Data Science aligns well with the candidate's educational background and project experience.
Soft Skills & Operational Fit
The candidate's internship experience at NHIF highlights collaboration with the claims department to improve workflows and alignment with SLAs, indicating a focus on operational efficiency and teamwork. The project descriptions suggest an ability to identify problems (non-linear relationships, resource allocation) and apply appropriate technical solutions. However, the resume does not provide explicit details on communication skills beyond project descriptions.