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Data Science with less than a year in Statistical Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical Data Scientist with 2 years of technical experience, and a focus on Statistics and Programming. Expertise in extracting actionable insights from large datasets (60,000+ records) using SQL, Python, and Power BI. Proven ability to build predictive ML models that solve real-world problems and drive business value
Kenyatta University
B.S. · Statistics and Programming
N/A – June 30, 2026
Extern, Inc
Data Science Extern
April 1, 2026 – Present
India
ALX Africa
Data Scientist (Project-based)
June 1, 2025 – Present
India
Maji Ndogo Project
November 1, 2025 – November 1, 2025
Data Engineering: Managed 60,000+ records via a 4-phase SQL pipeline, auditing schemas and ensuring data integrity. Advanced Analytics: Leveraged CTEs and Window Functions (RANK) to identify high-risk contamination sites. Strategic Insight: Uncovered regional budget leakages by joining project costs with geographic data, identifying root causes for overruns. Automation: Built a Python-based monitoring system to automate agricultural equipment tracking and field operations. Visualization: Delivered interactive Power BI dashboards and Jupyter Notebooks to drive stakeholder decisions. Maintained production-quality Python code using Git version control and implemented automated unit testing via pytest to validate data ingestion pipelines.
Personal Portfolio
March 1, 2025 – April 1, 2025
Predictive Maintenance: Developed a Decision tree classification model to predict machine failures (0.938 AUC). Business Impact: Positioned model to reduce factory downtime costs by predicting ~94% of failures before they occur. Healthcare Analytics: Engineered a diabetes prediction pipeline using mean imputation and feature scaling. Model Validation: Optimized performance using Precision/Recall metrics to ensure high generalization and reliability. Deployed predictive models on containerized AWS EC2 instances using automated scripts.
Cultural Fit Analysis
The candidate's project diversity, ranging from water contamination analysis (Maji Ndogo) to healthcare analytics and predictive maintenance, indicates a broad interest in applying data science across different domains. Their involvement in ALX Africa and Extern, Inc. suggests a proactive approach to gaining experience. The focus on real-world problem-solving and business value aligns well with a results-driven culture. However, the limited professional experience (externships) might require some mentorship to fully integrate into a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying and resolving demographic confounders and uncovering budget leakages. Their ability to communicate complex data insights to non-technical stakeholders using various visualization techniques indicates good communication and presentation skills. The project-based experience suggests adaptability and a results-oriented approach.