leonardo campos

* Provide analytical expertise to support strategic decision-making across UCLA development portfolios, resulting * in strategies that maximize revenue across UCLA divisions. * Build, coach, and lead Analytics group with a collaborative approach that stimulates cross-functional partnerships * and drives personnel development and performance. * Drive internal efforts to improve data quality, accessibility, and visualization to lead stakeholders toward a datadriven culture. * Apply machine learning methodologies to score and rank the acquisition pool for annual giving, improving * response rates and optimizing campaign targeting.

* Developed predictive models to score online traffic for major financial services customers who purchase leads to * sell home mortgages and auto insurance policies. Clients included industry leaders such as Wells Fargo, Bank * Of America and Geico. * Thoughtfully counseled internal sales and product partners based on data findings. Fostered client engagement * and spurred change management through statistical methodology for product analysis and pricing.

* Specialized in the maintenance and operation of critical electrical power generation resources including natural * gas turbines and diesel generators, along with control room operations and peak load management strategies. * Ensured team adhered to all maintenance schedules and liaised with senior military leadership on all emergency * plans and planned outages. * Appointed by the Chief Civil Engineer as the lead power plant operator, supporting a population of 15K military * and civilian personnel, as well as mission critical resources including a live operational runway. * Assignment locations included Riyadh, Saudi Arabia; Marseilles, France; San Antonio, TX and Lubbock, TX.

* Created and managed complex projects for evaluating MR points redemption models for MR Finance team * tasked with establishing a reserve fund adhering to Sarbanes-Oxley guidelines. * Saved $300M of liability reserve over previous quarters by improving model methodology. Contributed to the * development of new predictive models and segmentation strategies to minimize reserve fund variance by fiscal * quarter. * Liaised with country managers across the international markets to understand market forces and program * partner policies, enabling the team to anticipate mass redemptions and appropriately adjust the MR reserve. * Ensured strategic alignment between modeling team, corporate treasurer, and senior executives across global * markets, resulting in effective reserve management.