Greater Barcelona Metropolitan Area
I am focused on driving business success through the strategic application of technology, with a particular emphasis on Artificial Intelligence and salesforce effectiveness. By leveraging a solid understanding of both the technical and commercial aspects of AI, I work to align innovative solutions with business goals, helping teams deliver measurable results. My experience spans the pharmaceutical industry, where I’ve had the opportunity to work closely with diverse teams and gain insights into the Spanish, Latin American and European markets. I am passionate about leading teams, fostering collaboration, and continuously exploring ways to enhance salesforce performance to create real business value.
+ Defining the data strategy for the organization, and identifying opportunities to leverage data science to drive business insights and value. + Leading the implementation of the company's novel commercial model, which aims to prioritize Sales Force Effectiveness (SFE) and Customer Experience (CX) as the primary catalysts for this transformation. + Managing the budget for the data team, and making strategic decisions about resource allocation and investments in new technologies and tools. + Leading a team of data scientists and overseeing their work, including project planning, prioritization, and execution.
+ Leading a team of Business Excellence analysts, managing project planning, prioritization, and execution. + Focused on defining sales force objectives, incentives, and KPIs while developing functional reports to support data-driven decision-making across the business. + Managing relations with key business stakeholders and general management layers. + Continuation of Data Manager functions
+ Boost of data science's growth inside the company by creating and leading an analytics team and spreading the data culture. + Leading the implementation of strategic commercial projects that contribute to the digitalization and optimization of processes, impacting the Sales Force Effectiveness (SFE) and Customer Experience (CX) of the company. + Guaranteeing the proper choice and use of technological frameworks that help build AI solutions.+
Novartis is a Swiss multinational pharmaceutical company based in Basel, Switzerland. Among the tasks I contributed to are: + Apply Machine Learning techniques to optimize financial processes. + Contribute to the implementation of the “Data Culture” in the company.
Banc de Sabadell is a Catalan multinational financial services company headquartered in Alacant and Barcelona. It is the fourth-largest Spanish banking group. Among the tasks I contributed to were: + Implement Machine Learning models and algorithms with the objective to gain insights from the costumers. This knowledge can be leveraged to give a better service by anticipating clients' needs. + Develop a Machine Learning model to predict economic recession periods in the long term horizon for the biggest economies in the World. + Stablish an approach to Data Ethics involving bias mitigation and explainability of ML models; data tends to have intrinsic biases which can be difficult to find at a first glance. Those biases can be carried throughout all the dataflow; thus, the ML algorithm can take them as absolute truth and use them in its predictions. That may lead to having a model which is simply wrong or, worst case scenario, a model which is racist or sexist, among other discriminations. That is why mitigating biases and being able to understand and interpret how the model is taking its decisions internally is a key point in the process of data modelling.