Carlos Sandoval Vargas

Carlos Sandoval Vargas has a diverse range of work experience. Carlos most recently worked at Delta Bravo AI as a Data Scientist starting in December 2022. Prior to that, they worked at SIMED from January 2021 to August 2022 as a Demand Planning Specialist and Data Analyst. In this role, they developed machine learning algorithms, coordinated data democratization, increased forecast accuracy, automated reports, and designed an alert management system.

Before their time at SIMED, Carlos had internships at InsideSherpa in 2020. Carlos completed a KPMG Data Science Virtual Internship in April 2020, where they managed a large dataset, assessed data quality, and analyzed and modeled data. Carlos also participated in the Data @ ANZ Program at InsideSherpa in April 2020, where they performed data exploration, analyzed transaction trends, and used machine learning algorithms.

Carlos started their career at EDUCRECER as a Continuous Improvement Specialist from June 2017 to September 2019. Carlos then worked at CELEC EP Unidad de Negocio CCS as a Process Control Engineer from July 2016 to November 2016.

Overall, Carlos has experience in data science, demand planning, data analysis, continuous improvement, and process control.

Carlos Sandoval Vargas has a diverse education history. Carlos completed their Master of Science in Management and Business Analytics from Nottingham Business School, Nottingham Trent University, between 2019 and 2021. Prior to this, they pursued a Master's degree in Supply Chain Management and Logistics at Universitat de Barcelona from 2017 to 2018.

In their undergraduate years, Carlos obtained a Bachelor's degree in Industrial Engineering from Universidad San Francisco de Quito, which they pursued from 2012 to 2017. Carlos also had the opportunity to study abroad at the University of Illinois Urbana-Champaign as part of an exchange program in 2015-2016.

Additionally, Carlos has obtained several certifications to enhance their skillset. These include Agile Foundations, Creating Interactive Presentations with Shiny and R, Six Sigma: Black Belt, Data Science: Machine Learning, Processing Text with R Essential Training, Artificial Intelligence Foundations: Machine Learning, Business Analytics: Data Reduction Techniques Using Excel and R, Tableau and R for Analytics Projects, Building Data Apps with R and Shiny: Essential Training, Cleaning Bad Data in R, Data Science: Visualization, Data Science: R Basics, and Green Belt. Carlos received these certifications from various institutions such as LinkedIn and Harvard University through edX, as well as the Lean Six Sigma Institute LLC.