HAMISI BRIAN
Data Scientist
Nairobi
Summary
Results-driven Data Scientist and Statistician with 3+ years of experience across data analytics, statistical modelling, research, business intelligence, machine learning and multidisciplinary project leadership. Experienced in managing complex datasets, strengthening data quality and validation processes, developing executive dashboards, automating analytical workflows and translating quantitative evidence into decision-ready reporting. Strong background in research environments, stakeholder coordination, data-driven risk analysis and digital/AI innovation, with advanced capability in Python, R, SQL, Power BI and Tableau.
Overview
9
9
years of professional experience
Work History
Research Data Scientist (Consultant)
Freelance
01.2026 - Current
- Provide statistical and data-science consulting for research projects, postgraduate theses and dissertations across health, social sciences, business and engineering.
- Design research methodologies, sampling strategies and data-collection frameworks aligned with academic and institutional standards.
- Perform data cleaning, preprocessing, exploratory analysis and advanced statistical analysis using Python, R, SPSS, STATA and SQL.
- Develop predictive models, regression analyses, hypothesis tests and multivariate statistical models to answer research questions.
- Create interactive Power BI, Tableau and Python visualizations and prepare technical reports that communicate evidence clearly to research stakeholders.
Data Scientist
Pivigo Data Centre
01.2024 - 01.2026
- Designed, developed and deployed predictive machine-learning models to improve forecasting accuracy and support data-driven decision-making.
- Built interactive Power BI and Tableau dashboards for management visibility of key performance indicators, strategic metrics and operational trends.
- Automated ETL and data-processing workflows, improving data quality, reporting efficiency and analytical turnaround time.
- Conducted exploratory data analysis, preprocessing and feature engineering to identify trends, improve model performance and generate actionable insights.
- Prepared analytical reports and communicated technical findings to stakeholders, translating complex data into clear recommendations.
Project Leader - Data Innovation
Center for Epidemiological Modelling and Analysis
01.2024 - 01.2025
- Led multidisciplinary data innovation and AI projects, coordinating cross-functional teams to deliver data-driven solutions.
- Directed project planning, execution and monitoring, tracking milestones, resource allocation, quality standards and deliverables.
- Engaged academic, industry and institutional stakeholders to define objectives, communicate progress and translate analytical findings into strategic recommendations.
- Presented project outcomes and technical insights to stakeholders and supported collaborative decision-making.
- Institution - University of Nairobi
Research Data Scientist
KESSAP Research Centre
01.2018 - 01.2022
- Led quantitative and qualitative data analysis supporting research initiatives, policy development and evidence-based decision-making.
- Designed research methodologies, data-collection frameworks, validation procedures and statistical analysis plans aligned with research standards.
- Managed, cleaned and maintained large-scale research datasets, with emphasis on data integrity, quality, consistency and traceability.
- Applied advanced statistical methods, predictive analytics, regression and multivariate techniques to evaluate outcomes and identify meaningful trends.
- Produced technical reports and research outputs for stakeholders, supporting transparent interpretation of evidence and informed institutional decisions.
Education
Bachelor Degree - Statistics
Kirinyaga University
01.2023
Skills
- Python
- R
- SQL
- Data cleaning
- ETL
- Data preprocessing
- Feature engineering
- Power BI
- Tableau
- KPI dashboards
- Management reporting
- Data visualization
- Statistical analysis
- Regression
- Hypothesis testing
- Predictive modelling
- Multivariate analysis
- Survival analysis
- Machine learning
- Deep learning
- TensorFlow
- Scikit-learn
- Model development and deployment
- Research methodology
- Data validation
- Data integrity
- Analytical documentation
- Evidence generation
- Project leadership
- Stakeholder engagement
- Communication
- Cross-functional collaboration
- Analytical problem-solving
Affiliations
- Board Member, Data Science Association (DSA)
- Board Member, Institute of Electrical and Electronics Engineers (IEEE)
- Board Member, Association for Computing Machinery (ACM)
Relevant Strengths
- Governance & Assurance Support: Data validation, quality controls, methodological documentation, analytical standards and evidence-based reporting.
- Risk & Decision Analytics: Statistical analysis, predictive modelling, trend analysis and structured reporting to support informed decisions.
- Dashboards & Management Reporting: Power BI and Tableau dashboards, KPI reporting, executive-facing visualizations and analytical presentations.
- Data & Digital Transformation: ETL automation, data processing, AI/ML solutions and multidisciplinary data innovation projects.
- Stakeholder & Project Coordination: Cross-functional collaboration, project planning, monitoring, resource coordination and communication of technical findings.
- Research & Institutional Data: Large-scale research datasets, research methodology, data integrity, validation and policy-oriented evidence generation.
Data Research And Analytics Project
African HIV & AIDS Survival Analysis Case Study, Conducted an in-depth survival-analysis case study using statistical modelling to examine time-to-event outcomes and identify factors associated with differences in survival., Applied rigorous data preparation, exploratory analysis, survival modelling and interpretation of model outputs to generate evidence-based findings., Produced analytical results and visual outputs designed to communicate complex statistical evidence clearly to research and decision-making audiences.
Technical Skills And Competencies
Python, R, SQL, data cleaning, ETL, data preprocessing, feature engineering, Power BI, Tableau, KPI dashboards, management reporting, data visualization, Statistical analysis, regression, hypothesis testing, predictive modelling, multivariate analysis, survival analysis, machine learning, deep learning, TensorFlow, Scikit-learn, model development and deployment, Research methodology, data validation, data integrity, analytical documentation, evidence generation, Project leadership, stakeholder engagement, communication, cross-functional collaboration, analytical problem-solving
Additional Training And Certificates
- SPSS and STATA Certificate, KESSAP Research Centre, 2020
- Programming Languages and Computer Applications - PCAP/PCEP training/certification, 2022
Language Competencies
- English, Fluent (speaking, reading and writing)
- Kiswahili, Fluent (speaking, reading and writing)
References
- upon requested
Timeline
Research Data Scientist (Consultant)
Freelance
01.2026 - Current
Data Scientist
Pivigo Data Centre
01.2024 - 01.2026
Project Leader - Data Innovation
Center for Epidemiological Modelling and Analysis
01.2024 - 01.2025
Research Data Scientist
KESSAP Research Centre
01.2018 - 01.2022
Bachelor Degree - Statistics
Kirinyaga University