Emmanuel Kiriinya

Data Scientist Data Science East Africa (DSEA), Nairobi, Kenya • Full-Time Jun 2025 – Present

▪ Built and refined predictive classification and regression models (Python: scikit-learn, TensorFlow) for demand forecasting and customer performance analytics — applying feature engineering, model selection, and hyperparameter tuning to improve forecast accuracy by 20%, directly transferable to credit scoring and loan eligibility modelling.

▪ Monitored credit and portfolio performance metrics — tracking risk indicators, performance shifts, and margin impact across operational datasets, and producing timely management reports that informed adaptive strategy decisions across commercial teams.

▪ Implemented MLOps pipelines (MLflow, Docker, CI/CD) for model versioning, drift detection, and production monitoring — ensuring reproducible, auditable, and reliable model outputs throughout the deployment lifecycle.

▪ Translated complex model outputs into actionable business strategies for commercial, product, and operations stakeholders — communicating findings clearly in written reports, dashboards, and presentations tailored to non-technical audiences.

▪ Engineered features and automated ETL pipelines (Python + SQL), cutting data processing turnaround by 50% and ensuring high-quality, scalable datasets for downstream credit and risk modelling workflows.

Data Scientist / Analyst Ngeni Labs, Nairobi, Kenya • Full-Time Consulting Jan 2024 – May 2025

▪ Designed and deployed credit risk-style predictive models for fintech clients — assessing customer behaviour, repayment patterns, and default likelihood using classification algorithms (scikit-learn), achieving 20% improvement in model accuracy through rigorous feature engineering and cross-validation.

▪ Conducted A/B testing and statistical analysis to validate eligibility criteria changes and model improvements — quantifying margin impact and risk shifts before production rollout across client credit portfolios.

▪ Continuously improved eligibility criteria by analysing repayment data, engineering new behavioural and demographic features, and monitoring credit performance for emerging risk indicators — feeding insights back into model refinement cycles.

▪ Scaled models into production collaborating with engineering, product, and commercial teams — implementing model versioning and monitoring pipelines (MLflow) to track credit performance and ensure traceability of all deployed model decisions.

▪ Delivered cross-functional analytical outputs — translating risk model results into clear lending strategy recommendations for commercial stakeholders across multi-country client engagements.

Data Analyst May 2022 – Sep 2023 KTDA – Githongo Tea Factory Ltd, Meru, Kenya

▪ Applied SQL and Python to analyse large operational datasets, developing automated data pipelines that improved metric accuracy by 30% and reduced processing turnaround from 3 days to 1 — demonstrating foundational data engineering and analytical rigour.

▪ Built and maintained 10+ Power BI performance dashboards used by operations leadership for daily KPI monitoring and strategic decision-making.

Research Analyst (Volunteer) Community Agroforestry Initiative, Meru, Kenya • Part-Time Jan 2020 – Jan 2021

▪ Analysed agricultural and economic field data to generate evidence-based recommendations that contributed to a 20% yield increase for smallholder farmers — demonstrating applied quantitative analysis in resource-constrained, rural African contexts.