Gonzalo Munoz

I have extensive knowledge within machine learning, data science and software engineering fields. I have worked in projects in the healthcare sector covering all parts of the development process, including: data collection, data exploration (EDA), feature selection, feature engineering, model validation, model analysis (metrics), MLOps. Furthermore, I have a comprehensive understanding of machine learning models like Random Forest, Ensemble methods, SVM, Gaussian Processes, Neural Networks. During my time working at IIC I developed the necessary skills to collaborate with clients from the healthcare industry, designing and implementing data pipelines and models which allowed them to gain valuable insights from their data. Previously, I was a machine learning research scientist at UAM were I acquired a deep understanding of machine learning models, especially probabilistic models. The research culminated with the development of a new probabilistic deep learning method which was published in The European Conference on Machine Learning (ECML) 2019. I moved to the US as a Green Card holder and I'm looking for challenging opportunities with a major research component that allows me to explore data and find new and exciting applications. I love taking time to make my code and projects efficient and beautiful (I am a PEP8 fanboy) and I enjoy automating every single aspect of CI and CD pipelines.