Data Scientist with less than a year in Statistical Analysis & Mathematical Modeling
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A passionate researcher with a strong interest in applying mathematical and statistical methods to solve public health challenges. Enthusiastic about epidemiological modeling, data-driven decision making, and using computational tools to address real-world problems. Committed to continuous learning and contributing to evidence-based solutions in healthcare and development sectors.
University of Rwanda
Bachelor's in Applied Statistics · Demography
August 1, 2022 – June 30, 2025
AIMS Rwanda
Master's in Mathematical Science · Epidemiology
N/A – Present
National Institute of Statistics of Rwanda (NISR)
Data Collection Cooperator
January 1, 2023 – December 31, 2023
India
Optimization of Resource Allocation for Cholera Prevention in Burundi
January 1, 2026 – Present
Master's Thesis and Internship Project Tools: R, Python, Mathematical Modeling, Optimization Techniques Developed models to optimize allocation of limited public health resources for cholera prevention interventions Evaluated intervention strategies to support evidence-based decision-making in resource-constrained settings Applied epidemiological and statistical methods to improve health outcomes and resource efficiency
Malignant Melanoma Survival Analysis
January 1, 2026 – Present
Tools: R (survival analysis packages), Cox Proportional Hazards Model Identified ulceration (HR=3.20) and tumor thickness (HR=1.115) as key mortality predictors Model achieved 75.3% concordance in distinguishing patient risk
Geometric Jigsaw: Shape Dissections
January 1, 2025 – December 31, 2025
Tools: Geometric Software (Geogebra), Mathematical Modeling Findings: Developed efficient dissection algorithms reducing transformation steps by 25% Enhanced spatial reasoning and mathematical problem-solving skills
Strong Password Checker
January 1, 2025 – December 31, 2025
Tools: Python, String Manipulation, Logic Implementation Features: Evaluates password strength based on complexity criteria Successfully identified 95% of weak passwords in test datasets
Work-Energy Theorem Application
January 1, 2025 – December 31, 2025
Tools: Physics Simulation Software, Mathematical Derivation Findings: Validated theorem applications in frictionless systems Demonstrated energy conservation principles in practical scenarios
Rwanda Population Projection 2050
January 1, 2024 – December 31, 2025
Tools: Python, R, Excel, Demographic Analysis Software Findings: Projected 40% population growth by 2050 with significant aging demographic shift Analyzed labor market implications and policy recommendations
Statistical Software Certification - Stata and Advanced Excel
Unknown
June 18, 2026 – Present
Data Analysis by using Programming - Python and R programming
University of Rwanda
January 1, 2024 – Present
NISR Training Program - Data Collection Methods
NISR
January 1, 2023 – Present
Research Methodology Workshop
University of Rwanda
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background and project work demonstrate a strong interest in applying quantitative methods to public health and development challenges, which aligns well with organizations focused on social impact or research-driven data science. The diversity of academic projects, from epidemiological modeling to demographic projections and survival analysis, shows a broad intellectual curiosity and adaptability. The experience in data collection for a national institute suggests an understanding of structured data processes and collaboration. However, the lack of diverse industry experience outside of academic and public sector data collection might require some adjustment to a fast-paced, commercial data science environment.
Soft Skills & Operational Fit
The candidate lists several relevant soft skills such as Problem Solving, Communication, Teamwork, Analytical Thinking, and Research Skills. The experience as a Data Collection Cooperator at NISR suggests an ability to work in a structured environment, follow protocols, and collaborate. The academic projects, especially the Master's thesis, indicate strong independent research and problem-solving capabilities. However, without direct work experience in a data scientist role, the operational fit for a senior position is limited.