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Data Science with 4+ years in Statistical Analysis & Business Intelligence
Experienced data professional with 4+ years supporting diverse research-driven and operational projects across education, agriculture, economic, public sectors, and commercial operations. I specialise in statistical analysis, business intelligence, data visualisation, and data systems engineering, delivering clean, actionable, and reliable data solutions that support decision-making at all levels. Recently, I have worked on end-to-end commercial analytics projects, including cleaning and standardizing large-scale sales datasets, developing sales vs. target trackers, and building dashboards that improve visibility for Area, Trade Territory, Regional Trade Marketers, and RHOD teams. I also extract and structure geographic and operational data using Python, enabling better territory management and faster reporting.
Moi University, Eldoret
Bachelor of Science · Applied Statistics with Computing
August 1, 2018 – June 30, 2022
Bidco Africa Ltd
Data Analyst - Sales & Commercial Operations
September 1, 2024 – February 1, 2026
Kiambu, Kiambu County, Kenya
Verb Education
Data Analyst / Data Scientist
April 1, 2022 – August 1, 2024
Nairobi, Nairobi, Kenya
County Government of Kericho
Data Analyst
January 1, 2022 – March 1, 2022
Kericho, Kericho County, Kenya
Freelance (Self-employed)
Data Scientist
February 1, 2019 – June 1, 2022
Nairobi, Nairobi, Kenya
Cultural Fit Analysis
The candidate's experience spans multiple sectors (commercial, education, public, freelance), indicating adaptability and a broad perspective, which can contribute positively to diverse team environments. Their involvement in projects aimed at improving operational efficiency and supporting data-driven decision-making aligns with a results-oriented culture. The freelance experience also suggests initiative and self-direction. The target role of Data Science aligns well with their demonstrated skills in statistical analysis, machine learning, and data visualization.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their ability to identify gaps and implement data-driven solutions. Their experience in collaborating with cross-functional teams indicates good teamwork and communication. The focus on automating processes and improving efficiency suggests a proactive and results-oriented work attitude. The diverse project experience implies adaptability and a willingness to tackle varied challenges.