Software Engineer / Data Analyst / Data Scientist
Business Information Technology graduate from Nairobi, Kenya — building full-stack systems, deriving insights from large datasets, and growing into data science and engineering. Passionate about climate, fraud detection, and health analytics.
I'm a recent Business Information Technology graduate from Riara University, Nairobi, with hands-on experience spanning full-stack development, data analytics, system administration, and cybersecurity.
I believe data is one of the most powerful tools for creating real-world impact — from tackling climate change to uncovering fraud and improving health outcomes.
Languages: English (IELTS) · Kiswahili
Analysed the full arc of the COVID-19 pandemic across 255 countries from January 2020 to October 2023. Tracked case and death trajectories, quantified vaccination rollout impact, modelled healthcare system strain, and identified socioeconomic determinants of outcomes using K-Means clustering across 350,085 records.
People intelligence dashboard on the IBM HR Analytics dataset (1,470 employees). Identified key attrition drivers, profiled high-risk segments, and built a Random Forest prediction model achieving AUC 0.88. Quantified a $300K+ net saving from model-assisted retention interventions.
Applied NLP to 1,597 Amazon product reviews across 62 products. Used TextBlob for sentiment labelling, TF-IDF for feature extraction, and trained Logistic Regression, Random Forest, and Gradient Boosting classifiers to turn unstructured customer text into actionable product intelligence.
Segmented the Tech & AI talent pool (2024–2026) into distinct candidate profiles based on career stage, skill demand, AI adoption, and hiring velocity. Identified supply-demand gaps and guided targeted sourcing strategies using K-Means clustering, Python, Pandas, and Scikit-learn.
Conducted conflict-of-interest checks for 35+ simulated audit and consulting clients. Delivered risk-rated screening reports applying IESBA, IFAC, and PCAOB frameworks. Used Excel and Power BI to analyse large datasets and produce management summaries, tracking all correspondence in a centralised system.
Open to internships, graduate roles, and collaborative projects in software development, data analytics, data engineering, and data science. Based in Nairobi, Kenya — available remotely.