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Francisco Javier Carrera Arias has a strong background in data science and analysis. Francisco Javier started their career as a Research Assistant at the INIM Clinical Systems Biology Lab, where they focused on studying regulatory dynamics in Gulf War Illness and Chronic Fatigue Syndrome. Francisco Javier then worked as a Writing Fellow at Nova Southeastern University, providing writing assistance to college students. Francisco later served as a Hockey Analytics Intern for the Florida Panthers, where they analyzed player behavior and performance using R.

In 2017, Francisco joined MotionPoint as a Data Science Consultant. There, they conducted text analyses of sales calls, built ETL pipelines, created Excel spreadsheets, and automated reports using R. Francisco Javier also developed Tableau dashboards and conducted text mining projects.

Francisco then worked as a Product Data Analyst II at Glovo, where they built complex Looker dashboards, performed data analyses using SQL and R markdown, and collaborated with data engineers on implementing new events. Francisco Javier also used Bayesian structural time-series analyses and clustering analyses for promotion metric and experiment designs.

In 2020, Francisco became a Predoctoral Researcher at BCBL, before transitioning to Upside as a Data Science Consultant in 2022. Here, they leveraged their expertise in data science to deliver consulting services.

Currently, Francisco works as a Game Data Scientist at Voodoo. In this role, they created a main KPI overview Tableau dashboard and built a logistic regression model to predict player playtime and churn. Francisco Javier'sinsights resulted in increased D7 LTV for Mob Control and adoption of the model across Voodoo's live game portfolio.

Francisco Javier Carrera Arias has a diverse education history. Francisco Javier pursued a Doctor of Philosophy (PhD) degree in Cognitive Neuroscience and Neuroimaging from Universidad del País Vasco/Euskal Herriko Unibertsitatea from 2020 to 2024. Prior to this, they completed a Master of Science degree in Cognitive Neuroscience of Language from the same university from 2019 to 2020.

In 2015, Francisco obtained a Bachelor of Science (B.S.) degree with Distinction in Psychology, with a focus on Behavioral Neuroscience and Applied Statistics from Nova Southeastern University. Additionally, they attended Embry-Riddle Aeronautical University from 2013 to 2014, although the degree and field of study are unspecified.

Francisco also pursued several certifications and nanodegrees to enhance their skills in artificial intelligence and data science. In 2019, they earned the Natural Language Processing Nanodegree and the Deep Learning Nanodegree from Udacity. Francisco Javier also completed the Introduction to Machine Learning with Tensorflow course from Udacity in 2020. Moreover, they acquired various certifications such as Building Dashboards with flexdashboard and shinydashboard, Building Web Applications in R: Case Studies, and Shiny Fundamentals with R Track from DataCamp in 2019. Francisco Javier also obtained certifications from Zenva, including Recurrent Neural Networks: Text Generation and The Complete Artificial Neural Networks Developer Course in 2018.

Furthermore, Francisco completed several skill tracks and courses in data science and programming from DataCamp, such as Machine Learning in Python, Data Scientist in R Career Track, Machine Learning in R Skill Track, R Programming Skill Track, and others.

In terms of their earlier education, Francisco obtained their Titulo de Bachillerato from Colegio Internacional SEK-El Castillo in 2013, focusing on Science and Technology.