Leadership of the Gas Station Pricing, Wholesales, Professional Pricing and Pricing Development teams. Management of a team of 20 people with varied profiles: DataScientist, Project Managers, Commercial Analysts and bureaucratic profiles.Responsibilities include:• Definition of the fuel pricing strategy.• Project management for Repsols digitalization: -Optimization of the commercial offer for professional clients using machine learning to make the most profit without putting volume at risk. -Improvement of the Gas Station Pricing tool taking advantage of current computational power and new optimization algorithms to generate the best set of prices. -Database construction of the Wholesales business. -Automation with Salesforce of the commercial offers of professional clients. -Increase in the profitability of the stations through the development of systems that allow greater flexibility in their contribution to the discount. -Contributed to the management of the application of the 20cts/L discount due to the National Plan in response to the economic consequences of the war in Ukraine.• Management of multiple experiments with A/B testing to validate business strategies.• Translation of problems and needs between technical and business teams.• Leadership in the creation of multiple control Dashboards: -Service Station Pricing. -Follow-up and results of the implementation of the 10cts Repsol expansion campaign for carriers and professional clients. Creation of a panel in a very short time that allows management to monitor the results of the campaign and its costs.• Control and approval of daily pricing processes.• Management of the development and maintenance of multiple types of tools, budgets, audits and personnel, especially the recruitment of people with technical skills but with business skills.

Specialist in data analysis and model development aimed at supporting decision-making and optimization of fuel prices.Responsibilities:• Statistical studies, such as the construction of algorithmic models to help decision making.• Experiment development, such as prototyping models for improvementof pricing management applications.• Data management: intake and data processing to correct errors,incomplete and / or imperfect information from different sources.• Demand modeling: - Demand forecast models, customer transfer, cannibalization between products etc. - Clustering stations for micro-market analysis.• Customer modeling to detect different behaviors: - Customer churn risk using consumption patterns. - Detection of clients with greater consumption potential. - Identifying professional clients with too much or too little discount in order to optimize it. - Detection of suspicious operations with the intention of preventing fraudulent use of cards and payment terminals.• Use of income statement data to find gas stations and customers with the potential to improve their profitability and propose strategies to improve it.• Evaluation and management of prediction and optimization tools.• Rethinking and innovation in a framework of continuous improvementof fuel price management and sales optimization, from two perspectives; each individual store and the complete network.• Leadership of strategic initiatives developed in the analytical field, Big Data and digitalization to convert Repsol into a data driven company.• Coordination and leadership of international digital transformation projects based on data analysis, the creation of digital platforms and the implementation of price optimization tools.• Technical Business Translator

Support project to the Capital department of an important Spanish financial entity performing the following tasks:• Generation, execution and validation of the input used in the economic capital calculation models.• Calculating capital impact of changing the parameters of the models.• Application of credit risk prediction models to report the capital requirements of operations that need committee approval due to their volume.• Assistance in the search of information in the risk databases.• Generation of reports based on information from databases.• Creation of validation tests and report of errors for the detection of inconsistencies in the databases of the entity.• Reconciliation between the figures of different databases and justification of the inconsistencies.• Building projects and process automation using SAS and SQL.

Duties included:• Responsible for research on defense technologies against UAV and RPAS, includingdetection, identification and neutralization.• Study of the capabilities of different defense technologies in real locations and differentscenarios.

Duties included:• Support for portfolio management, project management and approval processes.• Database maintenance and auditing, focusing on data quality as well as administrationand database improvements (including automation).• Support in planning, execution and control of the budget in technical projects.• Coordinating information between working teams.• Support in the generation of reports for management.• Collaboration in the planning and support of the Mobile World Congress 2015.