Mutendwa Edwin

Highly skilled Data Scientist with over five years of experience in health financing. Proficient in data collection, cleaning, and organization for both technical and non-technical stakeholders. Demonstrates advanced proficiency in statistical, algebraic, and analytical techniques. Exceptionally organized, motivated, and diligent, with a strong background in health economics and policy. Currently pursuing an MSc in Health Economics and Policy, further enhancing the ability to apply economic principles to healthcare systems. Completed an intensive Data Science program, gaining advanced skills in machine learning, data visualization, and big data analytics.

Certified Public Accountant (CPAK) with a proven commitment to ethical standards in research, demonstrated by earning a Research and Public Health Ethics Certificate and completing a specialized course on tracking progress towards Universal Health Coverage (UHC) and developing a UHC index. This blend of technical expertise, financial acumen, and ethical grounding enables leveraging data-driven insights to inform decision-making and achieve impactful results in both healthcare and finance sectors.

Dr. Elizabeth Wangia

Head, Health Financing, Ministry of Health

Email: lizkusi@gmail.com

Mobile: +254721788469

Mr. Stephen Kaboro

Senior Economist, Ministry of Health

Email: mbugua.kaboro@gmail.com

Mobile: +254724343802

Dr. Isabella Maina

Consultant, World Health Organization

Email: drmainaisabel@gmail.com

Mobile: +254722710176

Data Science and Machine Learning : I have a strong passion for data science and machine learning, continuously exploring new techniques and methodologies to solve real-world problems.

Health Economics and Policy : My academic and professional background has fostered a deep interest in health economics and policy, particularly in developing strategies to improve healthcare systems and financing.

Financial Analysis and Modeling : With a solid foundation in finance, I enjoy analyzing financial data and building models to support decision-making processes in various economic contexts.

Continuous Learning and Development : I am committed to lifelong learning, constantly seeking opportunities to enhance my skills and knowledge through courses, certifications, and industry conferences.

Technology and Innovation : I am fascinated by technological advancements and their potential to drive innovation across different sectors, including healthcare, finance, and education.

• CPA - Certified Public Accountant

I have developed a machine learning model to predict weather conditions in India. This project involved collecting extensive meteorological data, including temperature, humidity, wind speed, and precipitation. The data was cleaned and normalized to handle missing values and outliers. I created new features to enhance the model's predictive power and employed SARIMA for the analysis. The model's performance was evaluated using metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) to ensure accuracy and reliability.

Additionally, I contributed to developing a machine learning model for means testing in Kenya's Social Health Insurance program. This project involved gathering socio-economic data from surveys and government databases, followed by thorough data cleaning to remove inconsistencies and ensure completeness.