Raúl Romero

Data Science & Risk Director at Rent-A-Center

Raúl Romero has a diverse range of experience in the field of data science and risk management. Raúl is currently working as the Data Science & Risk Director at Rent-A-Center, where they are responsible for overseeing data-driven decision-making processes. Prior to this, they served as an Associate Professor at ITESO Universidad Jesuita de Guadalajara, where they taught subjects related to data preprocessing, data science, and business intelligence.

Before their academic role, Raúl worked at Kueski, where they held various positions including Data Science Manager III, Senior Data Scientist, Middle Data Scientist, and Jr. Data Scientist. In these roles, they played a key role in developing and implementing machine learning models and data-driven solutions for client acceptance, risk assessment, fraud detection, and retargeting campaigns. Raúl also collaborated with engineering, risk, and product teams to create tools for data scientists.

Earlier in their career, Raúl worked as a Data Scientist at yotepresto.com, where they focused on segmenting clients, developing ML models for identification, and conducting market analysis. Raúl also worked at CasasyTerrenos.com, where they developed a model for estimating house prices.

Raúl's work experience also includes a role as a Job Prediction Developer at IIEG Jalisco, where they developed a model for estimating job levels in different cities.

Overall, Raúl Romero has demonstrated a strong background in data science, risk management, and academia, with experience in developing and implementing machine learning models, creating data-driven solutions, and teaching related subjects.

Raúl Romero obtained a Bachelor's degree in Financial Engineering from ITESO Universidad Jesuita de Guadalajara, completing their education from 2013 to 2017. Additionally, they have obtained several certifications in leadership and human resources from various institutions, such as Collective Academy and LinkedIn, with completion dates ranging from 2020 to 2022.

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