Data Analytics Consultant

• Feb 2021 - Present

Postdoctoral Researcher

• Apr 2020 - Sep 2020

Data Scientist

• Apr 2016 - Sep 2020

I worked as a Data Scientist and a Particle Physicist for the LHCb experiment at CERN: The LHCb experiment is one of the eight particle physics detector experiments collecting data at the Large Hadron Collider at CERN. About 1400 people from all around the world are involved in the LHCb experiment. I was an active member of the team responsible of the analysis of the large dataset collected by the LHCb experiment to search for hypothetical extensions of our current understanding of particle physics. I was the responsible of the data cleaning in the team, which consisted of designing efficient Python scripts to filter the data in order to save disk space in the database and to speed up access for analysts. This work was awarded several times by being sent to international conferences to present the scientific results of the collaboration. I analysed the aforementioned filtered data searching for signatures of a new kind of particles never observed before. The analysis of the data was performed using the Python ecosystem such as the Scipy, Numpy or Pandas packages. A classification between the searched hypothetical particles and the currently known particles was developed with a gradient boosting classifier from the Scikit-learn library using simulation and was applied to the collected data. Classified hypothetical particles in data were tested whether they are genuine new particles or not with a statistical modelling of the data using a technology based on TensorFlow. The result of the test was that the classified particles are all false positives, therefore the presence of those new particles was not observed in the data collected by LHCb. The results were carefully checked by the collaboration and are presented in an article that will soon be published in a scientific journal. I developed open-source python softwares for data and statistical analysis targeted for the particle Physics community (Scikit-HEP). Show less