bryan simiyu

As a driven and passionate Data Scientist, I leverage my expertise in people/HR data analysis, machine learning algorithms, and predictive modeling to drive insights that improve diversity and inclusion efforts and performance management. With a strong background in data storytelling and developing dashboards, I support data-driven decision-making and collaborate with cross-functional teams to deliver high-standard, actionable insights aligned with business strategy.

With a Master of Science in Data Science from the University of East London and a Bachelor of Science in Actuarial Science from Jomo Kenyatta University of Agriculture and Technology, I possess a solid foundation in data analysis and visualization. My experience in the insurance industry has equipped me with the skills to analyze and interpret HR metrics, develop predictive models, and optimize business processes.

I am a collaborative team player with a focus on delivering high-standard, actionable insights that drive business growth. I am proficient in a range of tools, including MS Excel, SQL, Google Sheets, Python, R, Tableau, Power BI, Jupyter Notebook, Azure, AWS, GitHub, and Looker Studio.