Daniel

Results-driven Applied Mathematician with strong expertise in statistical modelling, data analysis, optimization, and computational methods. Skilled in transforming complex datasets into actionable insights using tools such as Python, R, MATLAB, Power BI, and Tableau. Experienced in supporting research, environmental analytics, and data-driven decision-making across interdisciplinary domains.

Adept at designing predictive models, optimizing systems, automating workflows, and presenting findings through compelling data visualizations. Seeking a challenging role where quantitative analysis, analytical thinking, and problem-solving can drive impactful organisational outcomes.

Intern at Kenya Marine and Fisheries Research Institute (KMFRI) (2025-05 – 2025-09)

Contributed to environmental and fisheries research by supporting data collection, processing, modelling, and reporting activities within multidisciplinary studies.

• Entered, verified, and cleaned environmental datasets to ensure accuracy
• Organized digital research records and prepared periodic analytical reports
• Applied statistical techniques to assess fisheries data trends
• Automated repetitive workflows using Python, improving reporting efficiency
• Built Power BI dashboards for project monitoring and insights
• Assisted in preparing visual research reports and grant proposal materials
• Developed an interactive Power BI dashboard that enhanced data visibility for project leads
• Generated insights that supported improved decision-making in fisheries resource planning

Volunteer Mentor at Everything Data (2024-12 – 2025-03)

Supported early-career and aspiring data professionals through structured mentorship in analytics, visualization, and modelling.

• Mentored individuals in data analysis using Python, Excel, Power BI, and Tableau
• Delivered virtual training sessions on predictive analytics and data storytelling
• Guided participants on structuring analytics projects and applying statistical methods
• Shared best practices on turning data insights into business recommendations
• Successfully mentored 10+ participants, improving project quality and confidence
• Contributed to the development of workshop materials used for subsequent training cohorts

Bachelor of Science in Mathematics (Statistics/Applied) – The Catholic University of Eastern Africa (2019-09 – 2024-10)

Kenya Certificate of Secondary Education in KCSE – Cardinal Otunga High School (2015-08 – 2018-08)