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Data Science with less than a year in Data Analysis & Statistical Modeling
Results-driven Economist and Data Scientist holding a Bachelor of Science in Economics and Statistics and a Diploma in Data Science and Analytics. Well equipped with quantitative and analytical expertise spanning from econometrics, statistical modelling, machine learning and business intelligence. Successful experience in converting complex data into actionable economic and business insights. Familiar with Python, R, SPSS, SQL and top cloud and big-data platforms. Excellent in designing research, developing predictive models, creating effective visualizations and communicating results to technical and non-technical audiences. Driven by evidence to inform decision-making in public policy, finance, consulting, technology, research and development.
Zetech University
Diploma · Data Science and Analytics
August 1, 2025 – Present
Masinde Muliro University of Science and Technology
Bachelor of Science · Economics and Statistics
August 1, 2021 – June 30, 2025
County Government of Kakamega
Industrial Attachment
May 6, 2024 – July 30, 2024
India
Economics and Statistics Students Association
Organizing Secretary
September 1, 2023 – May 31, 2024
India
Cultural Fit Analysis
The candidate's academic background and internship experience suggest a foundational understanding of data-driven decision-making, which aligns with a data science culture. Their involvement in a student association indicates an ability to work in teams and manage events. However, the breadth of project diversity is limited, primarily focusing on academic and a single government internship, which might indicate a need for more exposure to diverse industry applications to fully assess cultural fit in a fast-paced, innovative data science environment.
Soft Skills & Operational Fit
The candidate demonstrates organizational skills through their role as Organizing Secretary, including logistical management, communication, and teamwork. Their professional summary highlights analytical reasoning, critical thinking, and adaptability, which are valuable for operational fit. However, practical application of these soft skills in a data science context is limited to an internship.