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FK@festuskipkorir1
Results-driven Data Analyst with expertise in predictive modeling.
KenyaI am a results-driven Data Analyst with over 2 years of experience in data analysis, predictive modeling, and data visualization. My proficiency in Python, SQL, and Tableau allows me to extract actionable insights from complex datasets, supporting informed business decisions. I have a proven track record of increasing company profits and improving operational efficiency through data-driven strategies.
At Kenya Tea Development Agency, I successfully developed predictive models that boosted tea sales by 15% and enhanced production efficiency. My role as a Human Resource Data Analyst at Amref Health Africa involves analyzing employee data to identify trends and developing dashboards that improve decision-making. I am passionate about optimizing business processes and am eager to contribute my technical expertise to a dynamic team.
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Work history, roles, and key accomplishments
Amref Health Africa
Jan 2024 - Present (1 year 10 months)
Currently analyzing employee data to identify trends in turnover rates and recruitment efficiency. Developing dashboards to visualize HR metrics and providing actionable insights to enhance employee engagement.
Kenya Tea Development Agency
Apr 2023 - Dec 2023 (8 months)
Collected and analyzed data on tea production and sales to enhance profitability. Built predictive models and created interactive reports and dashboards using Tableau and Excel.
Degrees, certifications, and relevant coursework
TCData Analytics Nano-Degree, Data Analytics
2024 - 2024
Completed a Nano-Degree in Data Analytics focusing on advanced data analytics, cohort analysis, and customer behavior insights. Gained skills in data visualization using Tableau, retention, regression models, and e-commerce analytics.
RUBachelor of Science, Computer Science
2019 - 2023
Grade: GPA: 3.45 (Second Class Honors, Upper Division)
Earned a Bachelor of Science in Computer Science with a GPA of 3.45 (Second Class Honors, Upper Division). Coursework included Programming (C, C++, Python), SQL, Artificial Intelligence, Machine Learning, Data Communication, and Statistics.
Software and tools used professionally
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