Data Scientist

Job Type

Part-Time

Employment Status

Self-Employed

Gender

Male

Marital Status

Single

Age

Education

Bachelor of Science in Applied Statistics – Kisii University 2021 – 2025 (Graduating Dec 2025) Core: Regression, Statistical Computing, Machine Learning, Time Series, Data Mining

Still Studying

Skills

Languages & Tools: Python, R, SQL, HTML, CSS, JavaScript, Git, GitHub Libraries & Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Flask, TensorFlow Databases: MySQL, MongoDB Visualization & Reporting: Power BI, Tableau, Excel, Jupyter Notebook Concepts: Machine Learning, Statistical Modeling, ETL Pipelines, Data Cleaning, Predictive Analytics Soft Skills: Analytical Thinking, Research, Communication, Collaboration, Leadership

Languages

English Kiswahili

Certifications

Degree in BSc. Applied Statistics Data Science & Analytics – Coursera & Udemy Microsoft Excel for Data Analysis Web Development Fundamentals Basic AWS & Azure for Data Analysts

Highest Qualification

Degree

References

1. Dennis Makambi – Lecturer, Kisii University 2. Dr. Abraham Osogo – C.O.D Mathematics Dept, Kisii University 3. Fredrick Kiio – Compliance Officer, NSSF Murang’a

Innovative and results-oriented Data Scientist and Analyst with a BSc in Applied Statistics (graduating Dec 2025). Proven ability to transform data into actionable insights using Python, R, and SQL. Skilled in building machine learning models, conducting advanced statistical analysis, and visualizing insights through powerful dashboards. Represented Kisii University in national-level data science competitions and consistently delivered impactful results. Passionate about solving real-world problems using data, research, and code.

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