Diego Muñoz Ureta

Diego Muñoz Ureta has extensive work experience in the field of data science and statistical consulting.

Diego'smost recent position, starting in 2022, is at Tenpo, where they work as a Data Science professional. In this role, they are responsible for developing machine learning models to personalize customer experiences, including models for customer lifetime value, early churn prediction, sporadic behavior, and recommendation systems. Diego is involved in projects from data ingestion to model production.

From 2021 to 2023, Diego also serves as the Academic Coordinator for the Data Science Diploma at DataUC. In this position, they coordinate with the teaching team to identify the best topics to teach in the corresponding modules. Diego covers various statistical topics such as ANOVA, regression, time series, tree-based models, segmentation models, and statistical programming using R.

Diego has worked as a Data Scientist at Reale Seguros since 2021. Diego'sresponsibilities in this role include creating multiple web scraping systems to gather market information, conducting research on relevant topics, and developing Shiny Apps for process automation and data availability. Diego also automates reports.

In addition to their work at Reale Seguros, Diego works as a Statistical Consultant at VNColors from 2021 to 2021 and at Kvalue Chile from 2019 to 2020.

Diego has also been involved in teaching and assisting roles at Pontificia Universidad Católica de Chile. Diego has served as a Professor of Statistical Modeling in the Data Science Diploma program since 2021, teaching topics such as ANOVA, regression, time series, tree-based models, segmentation models, and statistical programming using R. Diego has also worked as an Assistant for the Data Science Diploma program from 2019 to 2020 and as a Tutor for the Master's program in statistics in 2020.

Additionally, Diego completed a professional internship at INACAP in 2020. In this role, they were involved in the analysis of institutional data and the development of a machine learning model to select students based on their attributes.

Overall, Diego Muñoz Ureta has a diverse background in data science, statistical consulting, and teaching, with experience in developing machine learning models, statistical analysis, web scraping, and process automation.

Diego Muñoz Ureta's education history starts with their undergraduate studies. From 2015 to 2020, Diego attended Pontificia Universidad Católica de Chile and obtained a degree in mathematics and statistics.

In 2022, Diego pursued further education by completing a master's degree in statistics at Pontificia Universidad Católica de Chile. Their field of study during the master's program was specifically focused on statistics.

In addition to their formal education, Diego Muñoz Ureta also obtained several certifications in various topics related to machine learning and data analysis. These certifications were achieved through online platforms such as Coursera and Udemy. Diego obtained certifications in courses such as "Art and Science of Machine Learning," "Feature Engineering en Español," "Programa Especializado - Machine Learning with TensorFlow on Google Cloud Platform," "How Google does Machine Learning en Español," "Intro to TensorFlow en Español," "Launching into Machine Learning en Español," "Máster en SQL Server: Desde Cero a Nivel Profesional 2021," and "Getting Started with AWS Machine Learning."

Based on the provided information, it can be summarized that Diego Muñoz Ureta has a strong educational background in mathematics, statistics, and machine learning.