Position: Data Engineer | Data Scientist
Category: Data Engineer
English level: fluent
Years of experience: 3


I am a professional with a desire to expand my knowledge and great analytical skills to solve problems in a creative way. I am Master in Data Science at the Universidad Politécnica de Madrid with a thesis about Event Extraction on Legal Corpora using Large Language Models.

My professional experience spans the fields of Data Engineering, Data Science and Backend Developer. In all cases I have worked with the Python programming language (with more than 6 years of experience) and with cloud services such as AWS. As part of my work in Garaje de Ideas, I build microservices in the cloud to be consumed by the different applications of Multiasistencia (Allianz). Additionally, at SwagUp I collaborated in the creation of microservices that allowed communication with third-party applications such as Salesforce.

From my position as Data Scientist at Prosperia, I developed pipelines to extract, transform and load data and to get knowledge and discover patterns from it. I also worked on the creation of machine learning models with which I gained experience in data cleaning, variable engineering and the use of different models that could be adapted to the client's criteria without losing statistical rigor.

Finally, I am a Spanish speaker with great fluency in English and basic knowledge of French. Throughout my experience in the different companies I have worked with, I have obtained a great capacity for teamwork and experience with tools such as Python, Pandas, Scikit learn, MongoDB, SQL, AWS, Databricks, among others. As part of my academic studies I have also worked with Tensorflow, Apache Spark, Apache Flink, NetworkX and Gephi. I have experience with other languages such as C# and Common Lisp and basic knowledge of Scala and Java that can be corroborated in my Github projects.