Sharon Kimani

I am a highly motivated Data Science graduate with a strong technical background in Actuarial Science. My passion lies in utilizing my expertise in data analysis, machine learning, and programming to drive impactful business solutions. By combining my knowledge in Actuarial Science with advanced data science skills, my goal is to provide valuable insights and predictive models that optimize risk assessment, pricing strategies, and financial decision-making processes. I am dedicated to using data-driven approaches to contribute meaningfully to various business challenges and create valuable insights for informed decision-making.

My professional experience includes an underwriting attache position at Madison Group in Nairobi, Kenya, where I received comprehensive training in general insurance underwriting. During this time, I gained valuable insights into risk assessment and financial decision-making processes. Additionally, I have completed a Data Science program at Moringa School, Nairobi, where I honed my technical skills in data analysis, data storytelling, data visualization, and statistics. My background in Actuarial Science, combined with my data science expertise, enables me to provide valuable insights and predictive models for optimizing business strategies and decision-making.

My most relevant education includes a Bachelor's degree in Actuarial Science from Dedan Kimathi University of Technology, Nyeri, Kenya. During this program, I gained a strong foundation in actuarial principles and financial mathematics, which has provided me with a solid understanding of risk assessment and pricing strategies. Additionally, I completed a comprehensive Data Science program at Moringa School, Nairobi, Kenya. This program equipped me with advanced skills in data analysis, machine learning, and programming, enabling me to apply data-driven approaches to solve complex business challenges. My educational background in Actuarial Science combined with my data science expertise makes me well-prepared to provide valuable insights and predictive models that optimize decision-making processes.