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Data Science with 4+ years in Econometric Modelling & ML Engineering.
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Quantitative Data Scientist specialized in macroeconomic modelling, credit risk analytics, and automated decision-support systems for East African financial markets. Built and deployed end-to-end analytical applications across banking, fintech, and public policy use cases - bridging rigorous statistical methodology with production-ready engineering.
Kenyatta University
BSc Statistics & Programming · Econometrics Statistical inference Multivariate regression Relational databases
August 1, 2021 – June 30, 2025
Moringa School
Certificate in Data Science · Production ML SQL Visualization frameworks
N/A – Present
FOCUS Kenya
Data & Analytics Intern
April 1, 2024 – November 1, 2025
Nairobi, Nairobi, Kenya
Chandaria Innovation Centre — Kenyatta University
Tech Intern — Data & Prototyping
April 1, 2023 – November 1, 2023
Nairobi, Nairobi, Kenya
Google Developer Student Clubs (GDSC) - Kenyatta University
ML & Data Contributor
February 1, 2022 – September 1, 2024
Nairobi, Nairobi, Kenya
Campaign Finance Watch
June 30, 2026 – Present
• Quantified donor concentration and spending risk using Herfindahl-Hirschman Index (HHI) and rolling Z-score anomaly detection • Demonstrated a dashboard-driven alternative to spreadsheet-based monitoring, backed by automated SQL pipelines with full data lineage
View ProjectFaincre — NPL Predictive Risk Management
June 30, 2026 – Present
• Deployed PyTorch deep learning models for probability-of-default (PD) estimation, targeting thin-file borrowers without Credit Bureau records • Built multi-class risk segmentation pipeline designed as an alternative to traditional scorecard approaches, enabling forward-looking capital protection
View ProjectMind Lens — Mental Health NLP Classifier
June 30, 2026 – Present
• Fine-tuned ROBERTa transformer to classify language patterns associated with mental health indicators - including anxiety, depression, and elevated psychological risk from free-text input for triage support
View ProjectIRIS - Intelligent Risk Integration System
June 30, 2026 – Present
• Built an experimental monetary policy decision-support platform ingesting 53 years (1971–2023) of Kenya inflation and interest rate data • Engineered an 8-model structural stack: ADF/KPSS, Johansen cointegration, VECM, IRF, FEVD, GARCH(1,1), and Markov regime-switching • Auto-generates a composite risk score (0-100) using weighted outputs from econometric indicators, and exports executive memos (Governor, MPC, Swahili Wananchi Brief) as formatted PDFs
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including financial analytics, risk management, and NLP for mental health, indicates a broad interest and adaptability. Their involvement in Google Developer Student Clubs and leadership in a university union suggests a collaborative spirit and willingness to contribute to a community. The focus on real-world problems in East African markets aligns with practical, impact-driven roles.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through personal projects and leadership roles in student organizations. Their experience in translating non-technical requirements into analytical systems and co-leading workshops suggests good communication and collaboration skills. The Substack publication indicates a proactive approach to sharing insights and continuous learning.