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Data Science with less than a year in Data Analysis & Predictive Modeling.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Scientist and Data Analyst with a strong foundation in statistics, machine learning, data visualization, and database management. Experienced in Python, R, Stata, SQL, Excel, and data analysis projects involving data cleaning, exploratory data analysis, and predictive modeling. Passionate about leveraging data to solve real-world problems and continuously developing technical and analytical skills through academic and practical projects.
The Co-operative University of Kenya
Bachelor of Science · Data Science
August 1, 2023 – Present
Dalberg Research
Data Analyst
January 1, 2026 – Present
Nairobi, Nairobi, Kenya
Customer Churn Prediction
January 1, 2026 – June 1, 2026
Built a machine learning pipeline in Python to predict customer churn using logistic regression, random forest, and gradient boosting models. Performed feature engineering and handled class imbalance using SMOTE, improving recall on the minority churn class. Evaluated models using ROC-AUC, F1-score, precision-recall curves, and confusion matrices; achieved AUC of 0.88. Visualized key churn drivers using SHAP values, enabling interpretable recommendations for retention strategy.
Credit Card Fraud Detection
January 1, 2026 – June 1, 2026
Developed a fraud detection classifier on a highly imbalanced transaction dataset using Python and scikit-learn. Applied anomaly detection and supervised learning techniques (Isolation Forest, XGBoost) to flag fraudulent transactions. Tackled severe class imbalance through under sampling, oversampling (SMOTE), and cost-sensitive learning. Achieved high precision and recall on the fraud class, minimizing false negatives critical to financial risk mitigation.
Exploratory Analysis of Socioeconomic Indicators in Sub-Saharan Africa
January 1, 2023 – January 1, 2024
Aggregated and cleaned multi-source datasets (World Bank, UN, KNBS) covering GDP, education, health, and poverty metrics across Sub-Saharan African countries. Conducted comprehensive EDA using Python (pandas, seaborn, matplotlib) and R (ggplot2), uncovering regional disparities and longitudinal trends. Built OLS and panel data regression models to quantify relationships between education investment and economic growth outcomes. Produced an interactive Tableau dashboard summarizing findings for a non-technical policy audience.
Google Data Analytics Certificate
June 1, 2026 – Present
Python for Data Science
Datacamp
January 1, 2026 – Present
Tableau / Power BI Desktop Training
Datacamp
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal and academic projects, shows initiative and a broad interest in applying data science to various domains (customer churn, fraud detection, socioeconomic analysis). Their experience at Dalberg Research, focusing on evidence-based research in health, education, and economic development, suggests an interest in impactful work. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and cross-functional collaboration skills, which are crucial for a Data Science role. Their experience in automating workflows and tailoring reports for diverse audiences indicates good operational fit.