I am an experienced data analyst with over 9 years of work experience. Currently, I work at Amazon as Data Analyst working on the AWS environment. I am skilled in analyzing data from a variety of industries, including the public and commercial sectors. My knowledge in machine learning, artificial intelligence, and statistical techniques allows me to precisely handle challenging data problems. My areas of expertise are time series analysis and spatial statistics, and I'm skilled at automating reports with BI tools like PowerBi. I am proficient in a variety of programming languages, including SQL, R and Python, and I have a broad skill set that helps me draw conclusions and influence choices.

From 2021 until 2023, I worked as a data analyst at Totalplay's Planning Direction, where I used data to guide strategic choices. In addition, I worked with UNAM on the project "Geolocalization Algorithms for Spatial Clusters Management," where I conducted research on the connection between respiratory illnesses and air pollution. As a consultant for the National Electoral Institute in 2021, I was responsible for contributing my experience in sample statistics.

Before that, from 2017 to 2019, I worked as a Data Analyst at the Mexico City Environmental Agency's Air Monitoring Direction, where I was critical in maintaining air quality monitoring statistics. In 2017, I taught prospective professionals about data analysis as a professor at the Mexico City Autonomous University and the Mexico State Private University. I can help you navigate the intricacies of data analysis and interpretation thanks to my varied background and practical expertise.