Mirta Rodriguez Pinilla

Mirta Rodriguez Pinilla has an extensive work experience in various roles related to data science, innovation consulting, and technical consulting. Mirta currently works as a Data Science Lead at Mitiga Solutions, where they develop machine learning models for predicting rare events and leads a team of five members. Prior to this, they worked as an Innovation Consultant at the European Commission.

Mirta also served as the Business Unit Director at Starlab Barcelona S.L., where they led a team of earth observation experts and data scientists in developing data-based solutions for environmental monitoring. Mirta was also responsible for designing new services and serving various sectors with flexible monitoring tools.

Previously, Mirta worked as a Technical Consultant at Zuse Institute Berlin, where they co-developed numerical tools and used machine learning techniques to model energy flow in complex biological networks. Mirta also used computer vision and data analysis techniques for molecular property prediction.

Mirta's experience also includes working as the Group Leader Energy & Environment at IRIS Engineering, where they developed new business opportunities and managed projects in the energy and environment sector. Mirta has also worked as a Senior Scientist/Ramon y Cajal Fellow at CSIC, managing and developing scientific projects on quantum physics modeling.

Additionally, Mirta has worked as a Visiting Researcher at the Center for Applied Technologies in Paraguay, a Research Fellow at the Institute of Photonic Sciences, and a Postdoctoral Researcher at the University of Oxford. Mirta has also served as a Research Assistant at the Laboratory of Computational Engineering in Finland.

Throughout their career, Mirta has demonstrated expertise in data science, innovation consulting, technical consulting, and computational modeling.

Mirta Rodriguez Pinilla has a diverse education history. Mirta completed a Doctorate in Science and Technology from Teknillinen korkeakoulu-Tekniska högskolan from 2000 to 2004. Prior to that, they obtained a Master's degree in Energy and Sustainable Development from Universitat Politècnica de Catalunya from 2008 to 2009. Mirta also holds a Licenciatura degree in Physics from Universidad Complutense de Madrid, which they completed from 1992 to 1997.

In terms of more recent education, Mirta completed a Postgraduate Course in Data Science and Big Data from Universitat de Barcelona in 2016. Mirta also pursued a Deep Learning from Scratch program at Universitat de Barcelona in 2018, specializing in Data Processing.

Along with their formal education, Mirta has obtained several certifications to enhance their knowledge and skills. Mirta received a certification in Machine Learning in Weather and Climate from the European Centre for Medium-Range Weather Forecasts in May 2023. Mirta has also acquired certifications in Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Neural Networks and Deep Learning, and Structuring Machine Learning Projects from DeepLearning.AI and Coursera between September and November 2022.

Based on the provided information, it can be inferred that Mirta is continuously pursuing education and training opportunities to stay updated in their field of interest.