Wangari Kamau
@wangarikamau
Junior Data Scientist skilled in Python, ML, data cleaning, and interactive visualizations.
What I'm looking for
I am a Junior Data Scientist with practical experience in machine learning, data cleaning, exploratory data analysis, and interactive dashboarding. I have a BSc in Information Technology and hands-on training through an industry attache program.
During my Safra Data attache I gained experience using Jupyter Notebooks and core Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn to manipulate, analyze, and visualize data. I worked on supervised learning models including Linear and Logistic Regression, KNN, Decision Trees, SVM, Random Forest, and XGBoost.
My projects include cleaning and visualizing healthcare datasets, building a diabetes prediction model with cross-validation and AUC scoring, analyzing Jumia operations and producing an operations dashboard, and completing the Titanic classification project. These experiences demonstrate my end-to-end ML workflow competence—from preprocessing and feature engineering to model evaluation and interpretation.
I am passionate about transforming raw data into actionable insights and contributing to mission-driven technology teams, bringing strong practical skills in data handling, KPI reporting, dashboard building, and model deployment readiness.
Experience
Work history, roles, and key accomplishments
Data Science Attache
Safra Data
Completed an intensive practical training program in data science, delivering cleaned datasets, exploratory analyses, and ML prototypes (Logistic Regression, Random Forest, XGBoost) to support predictive modeling and dashboarding.
Education
Degrees, certifications, and relevant coursework
Multimedia University of Kenya
Bachelor of Science, Information Technology
Bachelor of Science in Information Technology focused on practical IT and multimedia applications.
Institute of Advanced Technology
ICDL Certification, Information and Communication Technology
Completed ICDL certification covering core computer and digital literacy skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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