Francisco Javier Carrera Arias

Francisco Javier Carrera Arias has a diverse work experience in the field of data science and analysis.

Francisco Javier started their career as a Research Assistant at the INIM Clinical Systems Biology Lab in 2015, where they developed Matlab programs related to the activation state and comparison of simulated HPA axis hormones.

In 2016, they worked as a Hockey Analytics Intern for the Florida Panthers, where they coded and analyzed ice hockey player behaviors using R.

From 2017 to 2018, they joined MotionPoint as a Data Science Consultant. Francisco Javier worked on various projects, including text analyses of sales representatives' calls, ETL pipeline development using PostgreSQL and R, and Excel automation using R's tidyverse. Francisco Javier also created Tableau dashboards and conducted text mining projects.

Francisco Javier then joined the INIM Clinical Systems Biology Lab again in 2018 as a Data Analyst I, focusing on discrete logic analysis and researching Gulf War Illness and Chronic Fatigue Syndrome.

In 2020, they became a Predoctoral Researcher at BCBL, and in 2021, they worked as a Product Data Analyst II at Glovo, where they built Looker dashboards, performed data analyses using SQL and R markdown, and utilized Bayesian structural time-series and clustering analyses.

In 2022, they worked as a Game Data Scientist at Voodoo, where they created a main KPI overview Tableau dashboard and built a logistic regression model to predict player playtime and churn. This resulted in significant improvements for Mob Control and wider adoption of the model across Voodoo's games.

Currently, Carrera Arias is working as a Data Science Consultant at Upside.

Francisco Javier Carrera Arias has an extensive education history in the field of Cognitive Neuroscience and Neuroimaging. Francisco Javier completed their 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 in 2019 to 2020.

In terms of undergraduate education, Francisco earned a Bachelor of Science (B.S.) with Distinction in Psychology with Behavioral Neuroscience and Applied Statistics from Nova Southeastern University from 2015 to 2017. Earlier, they pursued studies at the Embry-Riddle Aeronautical University in 2013 and 2014, although no degree or field of study information is available for that period.

In addition to their formal degrees, Francisco has enrolled in several online certification programs. Francisco Javier completed the Natural Language Processing Nanodegree and the Deep Learning Nanodegree from Udacity in 2019. In 2020, they also completed the Introduction to Machine Learning with Tensorflow program from Udacity. These certifications demonstrate their commitment to incorporating artificial intelligence into their research and studies.

Furthermore, Francisco obtained multiple certifications from DataCamp, including Building Dashboards with flexdashboard, Building Dashboards with shinydashboard, Building Web Applications in R: Case Studies, Shiny Fundamentals with R Track, Building Web Applications in R with Shiny, Building Chatbots in Python, Intermediate SQL, Natural Language Processing Fundamentals in Python, Sentiment Analysis in R, Intermediate R Practice, Introduction to Data, Unsupervised Learning in R, R Programming Skill Track, Machine Learning in Python Skill Track, and Data Scientist in R Career Track. Francisco Javier also acquired skills in Joining Data in PostgreSQL and Intro to SQL for Data Science. Additionally, they obtained certifications in Recurrent Neural Networks: Text Generation and The Complete Artificial Neural Networks Developer Course from Zenva.

Overall, Francisco Javier Carrera Arias has a strong educational background in Cognitive Neuroscience and Neuroimaging, with additional expertise in artificial intelligence and related fields. Their certifications and degrees, along with their commitment to continuous learning, make him well-prepared for applying their knowledge in academic and professional settings.