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 INIM Clinical Systems Biology Lab, where they focused on studying Gulf War Illness and Chronic Fatigue Syndrome. Francisco Javier applied discrete logic analysis and proposed potential therapeutic interventions for these conditions.

After that, Francisco worked as a Writing Fellow at Nova Southeastern University, assisting students with their writing assignments. Francisco Javier provided guidance on grammar, sentence structure, and content. Francisco Javier also served as a Research Assistant, where they prepared research proposals, recruited participants, and administered psychological tests.

Francisco then joined the Florida Panthers as a Hockey Analytics Intern. Francisco Javier coded ice hockey player behaviors from video recordings and performed various analyses using R, including clustering analysis and visualizations of player performance.

Later, they worked as a Data Analyst I at INIM Clinical Systems Biology Lab, continuing their research on Gulf War Illness and Chronic Fatigue Syndrome. Francisco Javier developed Matlab programs to generate matrices and compare hormone relations.

In 2018, Francisco became a Data Scientist at MotionPoint, where they completed complex Excel spreadsheets, automated reports using R, and conducted text mining projects. Francisco Javier also worked as a Data Science Consultant at Upside, providing data analysis solutions.

In 2021, Francisco joined Glovo as a Product Data Analyst II. Francisco Javier built Looker dashboards to track promotions, conducted data analyses using SQL and R markdown, implemented new features using the mParticle platform, and performed statistical analyses for experiment designs.

Currently, Francisco is working at Voodoo as a Game Data Scientist. Francisco Javier created a KPI overview dashboard and built a logistic regression model to predict player playtime and churn. Their insights led to increased D7 LTV for Mob Control and widespread adoption of the model across Voodoo's game portfolio.

Francisco Javier Carrera Arias has an extensive education history, with a focus on cognitive neuroscience, neuroimaging, and artificial intelligence.

Francisco Javier obtained their Doctor of Philosophy (PhD) degree in Cognitive Neuroscience and Neuroimaging from the Universidad del País Vasco/Euskal Herriko Unibertsitatea, starting in 2020 and completing in 2024.

Prior to their PhD, they earned a Master of Science degree in Cognitive Neuroscience of Language from the same university, studying from 2019 to 2020.

In 2015, Francisco completed their Bachelor of Science (B.S.) with Distinction in Psychology with a specialization in Behavioral Neuroscience and Applied Statistics at Nova Southeastern University, a prestigious institution.

In terms of additional certifications, Francisco has a diverse range of qualifications. Francisco Javier completed various courses through 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," "Joining Data in PostgreSQL," "Intro to SQL for Data Science," "Machine Learning in R Skill Track," "R Programming Skill Track," "Intermediate R Practice," "Introduction to Data," and "Unsupervised Learning in R."

Additionally, they received certifications from Zenva for "Recurrent Neural Networks: Text Generation" and "The Complete Artificial Neural Networks Developer Course."

Overall, Francisco Javier Carrera Arias has a strong educational background in cognitive neuroscience, neuroimaging, psychology, and artificial intelligence, making him a well-rounded and skilled individual in these domains.