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Data Analyst with 3+ years in Data Analysis, Power BI, & Machine Learning
Aspiring data analyst with a strong foundation in Applied Statistics and IT, passionate about transforming data into actionable insights that drive strategic decision-making. Eager to apply analytical thinking, programming expertise, and data visualization skills to solve complex business challenges across diverse sectors. Committed to leveraging tools such as Python, R, SPSS, Power BI and Excel to uncover patterns, optimize operations, and support evidence-based solutions. Dedicated to continuous learning and innovation in data science to contribute to impactful, data-driven outcomes.
Masinde Muliro University of Science and Technology
Master of Science · Statistics
August 1, 2023 – Present
Kaimosi Friends University
Bachelor of Science · Applied Statistics with IT
August 1, 2018 – June 30, 2022
Riambase Secondary School
Kenya Certificate of Secondary School
June 1, 2014 – May 31, 2017
LIQUID INTELLIGENT TECHNOLOGIES
Internship Data Analytics: - Finance
January 1, 2026 – May 1, 2026
Nairobi, Nairobi, Kenya
LIQUID INTELLIGENT TECHNOLOGIES
Internship (Under Presidential DigiTalent Program – ICT Authority) Private Sector Deployment Data Analyst: - Finance
November 1, 2025 – December 1, 2025
Nairobi, Nairobi, Kenya
THE JUDICIARY: NAKURU LAW COURTS
Internship (Under Presidential DigiTalent Program – ICT Authority) Public Sector Deployment ICT Officer - Support
January 1, 2025 – October 1, 2025
Nakuru, Nakuru District, Kenya
KENYA REVENUE AUTHORITY
Industrial Attachment Data Analyst – Facilities and logistics Division
April 1, 2022 – July 1, 2022
Kisumu, Kisumu County, Kenya
Determinants of Infant Mortality – Multiple Linear Regression Model
June 18, 2026 – Present
Developed a multiple linear regression model to identify key socio-economic and health-related factors influencing infant mortality rates. Cleaned and analyzed demographic datasets using SPSS and Excel, ensuring statistical validity and interpretability. Interpreted regression coefficients to assess the impact of variables such as maternal education, access to healthcare, and income levels. Presented findings with actionable recommendations for policy interventions aimed at reducing infant mortality.
Student Welfare & Institutional Surveys
June 18, 2026 – Present
Led analysis of hostel, library, and orientation survey data to assess student satisfaction and service delivery. Applied SPSS, R, and Excel to generate reports and dashboards for university management and quality assurance teams.
Modeling Malaria Symptoms in Children Under Five using Hidden Semi-Markov Model
June 18, 2026 – Present
Applied HSMM to model the progression and duration of malaria symptoms in children under five using real-world clinical data. Integrated results into a thesis focused on enhancing early detection and intervention strategies in pediatric malaria cases. Compared HSMM performance with traditional HMM to evaluate improvements in temporal accuracy and state duration modeling.
Google IT Support
Coursera
January 1, 2025 – Present
HCIA AI Certification
University of Nairobi
January 1, 2025 – Present
Data Science
Cisco
January 1, 2025 – Present
Google Data Analytics
Coursera
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from student welfare analysis to infant mortality modeling and malaria symptom prediction, shows a broad interest in applying data analytics to various domains. The internships in both private (Liquid Intelligent Technologies, KRA) and public (The Judiciary) sectors, along with volunteerism, indicate adaptability and a willingness to contribute to different organizational cultures. The pursuit of multiple certifications also reflects a growth mindset, which aligns well with a culture of continuous learning and improvement.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through diagnosing IT issues and optimizing resource allocation. Experience in training staff and documenting support tickets suggests good communication and organizational abilities. Project work highlights leadership in analysis and report generation, indicating potential for team collaboration and independent work. The diverse internship experiences suggest adaptability to different operational environments.