M
Matthew Hala
About
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Plateau State, Nigeria
Résumé
Jobs
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Principal Data ScientistAmerican Family InsuranceAug 2020 - Current (6 years 1 month)Lead enterprise-level data science initiatives enhancing risk assessment, claims prediction, and customer segmentation, aligning with insurance and health-risk modeling best practices. Partner with business units and executives to build predictive and prescriptive analytics systems that support underwriting, loss mitigation, and digital claims automation. Integrated cloud-based MLOps for scalable model deployment (AWS & GCP), improving reliability and time-to-insight across business units. Applied LLMs and NLP workflows to automate policy documentation and client communication analysis, aligning with current agentic-AI practices. Mentor a team of data scientists, establishing coding standards, model validation frameworks, and continuous lea- Lead Data ScientistMutual of EnumclawOct 2018 - Aug 2020 (1 year 11 months)Designed and productionized predictive models for underwriting and claims optimization, boosting risk segmentation accuracy and operational efficiency. Built automated pipelines and dashboard ecosystems (Power BI, Looker) to track KPIs and business performance metrics in near real time. Collaborated with engineering teams to implement data quality validation layers and monitoring workflows consistent with modern MLOps practices. Delivered recommendation models for cross-sell and retention strategies, improving member engagement an approach later adapted for healthcare member analytics. Coached junior scientists in Python modeling, version control, and experiment documentation.
- ASenior Data ScientistAmTrust Financial Services | Warrantech | The Amynta GroupAug 2017 - Sep 2018 (1 year 2 months)Developed predictive and risk assessment models that streamlined claims processing and loss forecasting for financial warranty products. Partnered with engineering to operationalize ML APIs, establishing a scalable deployment pipeline for underwriting and pricing algorithms. Designed text analytics solutions for claims documentation and fraud detection, early adoption of NLP techniques for real-world insurance text data. Delivered presentations to senior executives translating analytical findings into strategic action, improving cost ratios and customer satisfaction.
- Data ScientistZurich North AmericaMay 2014 - Aug 2017 (3 years 4 months)Created risk, fraud detection, and pricing models leveraging ensemble ML and time-series forecasting to support underwriting and operational decisions. Spearheaded the development of a customer segmentation framework that improved targeted marketing conversion by 20%. Partnered with business teams on data pipeline modernization, ensuring data readiness for advanced analytics and real-time dashboards. Produced executive reports and interactive visualizations communicating key drivers of claims and loss performance.
- Predictive ModelerGreat West Casualty CompanyOct 2013 - May 2014 (8 months)Built predictive models for insurance risk and claims forecasting, improving portfolio health monitoring and policy pricing. Conducted model validation and scenario testing under regulatory constraints, ensuring robustness and interpretability. Presented model outcomes to executive leadership to guide strategic underwriting and actuarial decisions.
Education
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- Doctor of Philosophy - StatisticsIowa State UniversityJan 2010 - Jan 2014 (4 years 1 month)
- Bachelor's Degree - MathematicsUniversity of FloridaJan 2005 - Jan 2009 (4 years 1 month)