Kimathi Newton

Passionate about unleashing data's hidden potential, I'm a meticulous Data Analyst with expertise in Python, R programming, Advanced Excel, Machine Learning, and SQL. Skilled in extracting valuable insights from complex datasets, I drive data-driven decision-making and optimize processes. As an aspiring Data Scientist and Data Engineer, I'm dedicated to continuous growth and staying current with emerging trends. With strong problem-solving abilities and a collaborative mindset, I thrive in dynamic environments, achieving shared goals with diverse teams.

I have a diverse professional background encompassing data analysis, digital health technology, and facilitation. As a Junior Data Analyst, I've conducted data quality checks, supported project management, and provided valuable insights to drive business decisions. I've also facilitated countrywide training for ICD-11 implementation, showcasing my communication skills and adaptability. Additionally, my experience at the Ministry of Health exposed me to digital health technology and data analysis, contributing to my proficiency in these areas. Alongside my academic background in Actuarial Science and ongoing professional development in data science, I am well-equipped to excel in roles requiring analytical thinking, data-driven decision-making, and effective communication. My passion for leveraging data for public good and my dedication to continuous learning further enhance my professional profile.

I hold a Bachelor's degree in Actuarial Science from the University of Eldoret. Throughout my academic journey, I honed strong analytical and mathematical skills, and gained proficiency in data analysis using R and Excel. This education provided a solid foundation for my subsequent pursuits in data science, including a comprehensive nine-month program at Azubi Africa. Here, I delved into machine learning algorithms, statistical analysis, and data visualization, gaining proficiency in Python, SQL, and Excel. This relevant education equips me with the essential quantitative and analytical abilities needed to excel in roles that demand data-driven decision-making and innovative problem-solving.