I’m Fordrane Albert Okumu, a Data Scientist and Business Analyst with 4+ years of experience building and deploying statistical, machine learning, and AI solutions across forecasting, customer segmentation, churn/risk analysis, and operational decision-support. I translate ambiguous business needs into measurable analytics problems, then work through the full lifecycle—exploratory analysis, feature engineering, model validation, and delivery—so teams can use insights confidently. I’ve also led end-to-end analytics and reporting by partnering with stakeholders to define KPIs and building interactive dashboards in Power BI, Tableau, and Excel. In parallel, I collaborate with data engineering to design and maintain ETL/analytics pipelines and support governance and audit readiness, ensuring both data quality and model performance are monitored over time.

Fordrane Albert Okumu

I’m Fordrane Albert Okumu, a Data Scientist and Business Analyst with 4+ years of experience building and deploying statistical, machine learning, and AI solutions across forecasting, customer segmentation, churn/risk analysis, and operational decision-support. I translate ambiguous business needs into measurable analytics problems, then work through the full lifecycle—exploratory analysis, feature engineering, model validation, and delivery—so teams can use insights confidently. I’ve also led end-to-end analytics and reporting by partnering with stakeholders to define KPIs and building interactive dashboards in Power BI, Tableau, and Excel. In parallel, I collaborate with data engineering to design and maintain ETL/analytics pipelines and support governance and audit readiness, ensuring both data quality and model performance are monitored over time.

Available to hire

I’m Fordrane Albert Okumu, a Data Scientist and Business Analyst with 4+ years of experience building and deploying statistical, machine learning, and AI solutions across forecasting, customer segmentation, churn/risk analysis, and operational decision-support. I translate ambiguous business needs into measurable analytics problems, then work through the full lifecycle—exploratory analysis, feature engineering, model validation, and delivery—so teams can use insights confidently.

I’ve also led end-to-end analytics and reporting by partnering with stakeholders to define KPIs and building interactive dashboards in Power BI, Tableau, and Excel. In parallel, I collaborate with data engineering to design and maintain ETL/analytics pipelines and support governance and audit readiness, ensuring both data quality and model performance are monitored over time.

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Language

English
Fluent
Swahili
Fluent

Work Experience

Senior Business Analyst at Sunpower Products LTD
January 1, 2024 - Present
Developed a centralized Microsoft Access database integrated with SQL queries to streamline data flow across finance, inventory, and supply chain operations, with robust backup and access controls. Applied AI and machine learning algorithms (using Python – Scikit-learn, pandas) to optimize delivery routes, forecast stock levels, and allocate operational costs—enhancing logistics efficiency and reducing waste. Built interactive dashboards in Power BI, Tableau, and Excel to monitor end-to-end supply chain KPIs; automated weekly marketing performance reports; deployed machine learning models to cluster customers and enhance retargeting strategies; supported budget simulations and KPI monitoring.
Data Manager at Reach Wiser – Oxford University
January 1, 2020 - November 1, 2023
Applied multivariate regression, risk-scoring models, and time-series forecasting to support evidence-based decisions using large multi-country datasets. Designed data governance frameworks covering collection, validation, storage, access control, and audit processes across multi-country implementation sites. Built automated data-cleaning pipelines in R/Python and real-time monitoring dashboards tracking enrolment, follow-ups, and program risk indicators. Developed statistical analysis plans (SAPs) to ensure rigorous experimental design aligned to research objectives and measurable indicators.

Education

Master’s degree in Financial Engineering at WorldQuant University
September 1, 2023 - April 8, 2026
Bachelor of Science in Applied Statistics at University of Eldoret
September 1, 2015 - November 1, 2019
Master's Degree in Financial Engineering at WorldQuant University (Online)
September 1, 2023 - September 18, 2026
BSc Applied Statistics at University of Eldoret
September 1, 2015 - November 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Manufacturing, Transportation & Logistics, Professional Services, Retail, Financial Services, Education, Other