Francisco José Caride

Design and implement end-to-end econometric experiments and learning models for pricing and monetization on client projects; develop pricing optimization models and analytics; deploy and monitor models and learning workflows; build and maintain internal platforms and tooling (e.g., SharePoint, SFTP, cloud-based infra) and mentor project teams; lead cross-functional collaboration to deliver data-driven solutions.

Auto Loans: built a ML classification model to predict loan uptake; created an end-to-end data pipeline ingesting from an international bank’s data, trained and evaluated models, and delivered propensity-based targeting for campaigns. People Analytics: optimized payroll ticketing/requests, achieving efficiency improvements and cost savings. Predictive Maintenance of Industrial Assets with ML: feasibility analysis and development of ML modules for industry clients. ML & Insurance Industry: collaborated with multinational insurance software teams to extend data science capabilities.

Part of the data strategy and engineering team for an insurance group; defined data governance guidelines and technology strategy to provide data-driven solutions; built data profiles for personnel recruitment and interview processes; developed dashboards and BI pipelines to support underwriting and decision-making.