Paul Arnold
@paularnold1
Motivated data scientist/analyst student focused on machine learning and impactful insights.
What I'm looking for
I am a BSc student in Mathematics and Computer Science with hands-on experience in machine learning, data analysis, and scientific research. I have built predictive models (Random Forest, XGBoost, Logistic Regression), developed Power BI dashboards, and delivered actionable insights to senior management during a risk management internship at Nairobi City Water and Sewerage Company.
I am results-driven and skilled in data preprocessing, feature engineering, EDA, and visualization using tools like Power BI, Plotly, and Excel. I seek an internship where I can collaborate on real-world projects, contribute analytical solutions, and continue developing my technical and domain expertise.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Emobilis Technology Institute
Jan 2024 - Present (1 year 8 months)
Built predictive models (Random Forest, XGBoost, Logistic Regression) to forecast employee promotions, performing feature engineering and EDA to provide actionable HR insights and achieve high predictive accuracy.
Risk Management Intern
Nairobi City Water and Sewerage Company
Developed interactive Power BI risk dashboards and analyses that visualized inherent/residual risk distributions and produced a 5x5 risk matrix, delivering actionable insights to senior management to mitigate operational, financial, and environmental risks.
Education
Degrees, certifications, and relevant coursework
Jomo Kenyatta University of Agriculture and Technology
Bachelor of Mathematics and Computer Science, Mathematics and Computer Science
2022 -
Pursuing a Bachelor of Mathematics and Computer Science with coursework in data science and predictive analytics since 2022.
Emobilis Technology Institute
Data Science Certification, Data Science
2024 - 2024
Completed a Data Science coursework certification covering predictive analytics, feature engineering, and machine learning in 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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