Felistus Kyalo
Data Analyst
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About
I am an economics and statistics graduate with expertise in data analytics, econometrics, business management, and computer science. As a skilled analyst and problem-solver, I have a proven track record of delivering insights and driving results through data-driven solutions.
Beyond my academic and technical expertise, I am also passionate about social impact and community development. As the founder of a charity organization based in Nakuru, Kenya, I have gained valuable experience in designing and implementing initiatives to address community needs and improve livelihoods.
In addition to my professional and philanthropic pursuits, I am an avid learner and enjoy staying up-to-date with the latest developments in my field. I am also a collaborative team player who thrives in fast-paced and dynamic environments.
I am excited to connect with like-minded professionals who share my passion for data-driven solutions and social impact. Let's connect and explore opportunities for collaboration and networking.
Experience
I am an economics and statistics graduate with expertise in data analytics, econometrics, business management, and computer science. As a skilled analyst and problem-solver, I have a proven track record of delivering insights and driving results through data-driven solutions.
Education
Egerton university
Bachelor's degree: BSc in economics and statistics
Grade: second class upper
Activities and societies: Economics Students Association where we were involved in social events, academic workshops, and community service activities and societies: Economics Students Association where we were involved in social events, academic workshops, and community services
Economics Students Association where we were involved in social events, academic workshops, and community services economics Students Association where we were involved in social events, academic workshops, and community services
Skills: Proficient in statistical software such as R, SPSS, and STATA · Data cleaning, data visualization, regression analysis, and hypothesis testing. · econometric techniques such as panel data analysis and time-series analysis. · Communication skills · Data analysis:
