DATA SCIENTIST · STATISTICIAN · RESEARCH ANALYST · SOFTWARE ENGINEER
HAMISI BRIAN
I translate complex information into useful intelligence — combining statistics, survival analysis, machine learning, software engineering and clear visual storytelling.
01 / SELECTED PROJECTS
Research-led case studies showing the methods, tools and outcomes behind the work. Select a project to review its full narrative.
SIGNATURE CASE STUDY / RESEARCH METHOD
A rigorous survival-analysis framework designed to turn complex time-to-event research data into transparent, reproducible and decision-ready evidence.
Define the cohort, event, censoring rules, follow-up time, missing-data approach and data-quality checks.
Examine distributions, missingness, baseline characteristics and candidate risk factors before modelling.
Estimate survival probabilities across groups and present time-to-event patterns as interpretable curves.
Use verified log-rank testing and report assumptions, p-values and confidence intervals with full context.
Build adjusted models, test proportional-hazards assumptions and calculate verified hazard ratios.
Interpret clinical, demographic and contextual factors only where the evidence supports a conclusion.
Translate outputs into survival curves, model summaries and dashboards appropriate for research audiences.
Document limitations, reproducibility steps and evidence-based conclusions for responsible use.
Replace the placeholders with verified cohort size, events, hazard ratios, confidence intervals, p-values and findings before publication. This protects the credibility of the research and the portfolio.
Recognition, role and achievement wording will remain a verification placeholder until official details are supplied.
02 / CAPABILITIES
Click a capability to see the tools and practices I bring to the work.
03 / EXPERIENCE
My work bridges sound methodology and decisions people can confidently act on.
HAMISI BRIAN · RESEARCH & DATA PROFESSIONAL
04 / THE PERSON BEHIND THE WORK
I'm Hamisi Brian, a Statistics graduate and Data Scientist with 4+ years of experience across research, business intelligence, machine learning, survival analysis and software engineering.
I believe the best analytics meets people where they are: precise enough to trust, clear enough to use, and built around the question that matters.
Kirinyaga University
Bachelor of Science in Statistics — academic foundation in statistical modelling, research methods and data analysis.
KESSAP Research Institute
Research contribution and professional-recognition context — award title, date and verified achievement to be added once confirmed.
05 / CONTACT
Let’s turn your next question into a clear, data-informed decision.
hamisi.career@gamil.com ↗