Summary

Overview

Work History

Education

Skills

Certification

Timeline

Patrick Munyingi Kahiga

DATA SCIENTIST

Nairobi

Summary

Data Professional with experience delivering end-to-end analytical solutions, predictive models, financial insights, and executive-level reporting. Skilled in Python, R, SQL, Azure, Power BI, and statistical modelling, I have proven and verifiable track record to translate complex data into business strategy, support decision-making for senior leadership, and lead cross-functional analytics projects.

Overview

years of professional experience

Certifications

Work History

Data Scientist

Africa Risk Capacity

09.2023 - Current

Delivered ML-driven analytics influencing £60M+ in financial outcomes across multi-year programmes.
Built forecasting engines, regression models, anomaly detectors and stochastic simulations for exposure estimation, earnings-style projections and capital-stress scenarios.
Applied ML and statistical modelling (including Copula-based dependencies) to risk estimation, exposure forecasting and portfolio-level decision-support, highly transferable to lending analytics.
Engineered Azure-based deployments, increasing model reliability, observability and reproducibility.
Automated Python + SQL ETL pipelines across financial, operational and portfolio datasets cutting processing time by 60% and strengthening data quality for modelling.
Designed Power BI and Streamlit dashboards for KPI tracking, scenario testing, portfolio risk signals and executive decision-support.
Performed financial modelling, pricing optimizations, stress testing and P&L variance analytics, supporting planning and investment-style resource allocation.
Led data QA, harmonization, outlier treatment, sensitivity analysis and formal model documentation aligned with governance, version control, and audit standards
Built predictive and pricing models using large-scale time-series and geospatial datasets, generating £2.1M+ in earned revenue.

Actuarial Summer Analyst

Kenbright Holdings

05.2023 - 08.2023

Automated actuarial and operational workflows using Python and R. Performed claims analytics, reserving analysis, and data quality reviews.
Conducted exploratory analysis and feature engineering for actuarial datasets.
Produced analytical dashboards and summaries to support pricing and reporting teams.
Led and mentored a team of 20 analysts across analytics deliverables.

Junior Machine Learning Engineer

Omdena

08.2022 - 05.2023

Developed ML models including an 86%-accurate credit scoring model and a customer churn classifier.
Conducted advanced feature engineering, model tuning, validation, and documentation.
Performed geospatial preprocessing and dataset augmentation for improved model robustness.
Produced dashboards and analytical summaries used by technical and business teams.

Data Analyst

Social Health Authority

05.2021 - 11.2021

- Performed claims analytics, fraud detection support, and operational reporting.
- Identified 50+ non-compliant facilities and supported contracting for 250+ providers.
- Extracted, cleaned, and transformed data using SQL and Excel.
- Generated dashboards and operational insights for management.

Education

BSc - Actuarial Science

Catholic University of Eastern Africa

Nairobi

01.2022

Skills

Data Visualization: Power BI, Streamlit, plotly, seaborn, matplotlib , tableau, Databricks

Machine Learning: regression, classification, forecasting, anomaly detection, feature engineering, cross-validation, hyperparameter tuning,A/B Testing

Financial & Actuarial Analytics: pricing models, financial modelling, scenario analysis, P&L variance analysis , portfolio analytics and Time series analaysis

Data Engineering: SQL (advanced querying), Azure SQL, ETL/ELT pipelines, data modelling, workflow automation, data validation, multi-source integration

Python,R,Excel