Okumu Okumu

I am a dedicated Data Scientist with extensive experience in data management, analysis, and visualization. I specialize in applying data-driven methodologies to solve complex problems in various sectors, including health, finance, and social development. My expertise includes statistical analysis, machine learning, and data mining using tools like R, Python, SAS, and Tableau.

I am passionate about continuous learning and implementing innovative solutions to drive meaningful insights and business growth.

I have over four years of experience as a Data Scientist and Analyst, specializing in data management, statistical analysis, and visualization. I have worked with various organizations, including AMREC, KEMRI, and Oxford University, where I designed databases, conducted data analysis using tools like R, Python, SAS, and Stata, and created dashboards with Tableau and Power BI. My expertise spans health data analytics, financial data analysis, and machine learning.

I am currently pursuing Master's in Financial Engineering from WorldQuant University (2022) and hold a Bachelor's in Applied Statistics from the University of Eldoret (2019). Additionally, I am certified in Data Science by WorldQuant University, equipping me with advanced skills in data analysis, machine learning, and statistical modeling.