I provide reliable predictions to decision makers. 15 years’ experience in model diagnostics, uncertainty quantification, risk identification, and helping teams make optimal choices. My expertise is developing, testing, and deploying predictive models. I use data science tools to deliver actionable information to decision makers. I mentor, train, and effectively collaborate across multi-disciplinary groups to integrate data and drive technical consensus. I balance competing priorities and tight deadlines, simultaneously advancing multiple projects. My engineering training and experience give me the analytical capability to produce useful forecasts and insight for stakeholders.I care about the effects of global climate change and societal resilience. I’ve contributed to the energy transition through efforts on grid modernization and electrification. Specifically, I was responsible for short-term load forecasts used hourly by control centers and daily by energy procurement. Financial and business analytics have been core components of each role I’ve held:• As a modeler and resource assessor at ExxonMobil, I worked across groups and disciplines to gather, evaluate, and—when necessary—challenge inputs and assumptions to resource-sizing and valuation models used to guide optimal Company investment decisions and portfolio prioritization.• At Verisk, my data-driven analysis of vulnerability to extreme wind informed risk assessments of (re)insurers, governments, and financial institutions.• At National Grid, I oversaw the accuracy and reliability of 30+ models that predict hourly electric load up to 14-days-ahead which are used to trigger demand response and NWA activation. I also provided strategic and tactical guidance for developing a cloud-based platform to deliver regional- to feeder-level forecasting. And I ensured models were up to date and accounted for peak load mitigation and the impact of distributed generation.Models & data fusion | Data-driven thought leadership | Decision quality under uncertainty | Clear technical communicationCo-authored 15 peer-reviewed scientific papers, cited over 1000 times.Skills and areas of expertise:• Statistical analysis of data, AI/ML• Model development & evaluation• Multi-scenario evaluation• Ensemble forecasting • Uncertainty propagation• Sensitivity analysis• Monte Carlo methods• Stakeholder engagement • Facilitation skills• R, Python, SQL, Matlab, Databricks• Fluent: English, Spanish, German.All views expressed are my own and do not reflect those of my current or previous employers.