Maximiliano Resendez

Maximiliano Resendez has a diverse work experience spanning various industries. Maximiliano currently works as a Senior Analyst at Golub Capital since 2022. Prior to this, they worked at Zebra Technologies from 2018 to 2021, holding positions such as Senior Data Analyst.Engineering and Global Trade Compliance Data Analyst. In these roles, they were responsible for analyzing large datasets, establishing databases, developing PowerApps, and migrating data structures. Before that, Maximiliano worked as a Data Modeler and Analytics Lead Developer at the University of Chicago Medicine in 2017-2018. Maximiliano also gained valuable experience as the Graduate House Director/Chapter Advisor for Lambda-Eta Chapter at Tau Kappa Epsilon Fraternity from 2016-2017. Additionally, in their earlier years, Maximiliano held positions such as Public Relations and Head Secretary at Tau Kappa Epsilon Fraternity and worked as a Field Superintendent at National Power Rodding Corp in 2015. Maximiliano began their career as a Jr. Data Analyst at Princesa Properties in 2014. Throughout their experience, Maximiliano has demonstrated skills in data analysis, database management, project management, and leadership.

Maximiliano Resendez began their education journey by obtaining a Bachelor of Science degree in Environmental Policy and Planning from the University of Iowa between the years 2012 and 2016. Maximiliano then pursued further education in the field of Information Technology through the Microsoft Professional Program: Data Science Certification offered by edX. This program lasted from 2017 to 2019 and resulted in Maximiliano earning the Microsoft Professional Program in Data Science certification. Throughout their educational journey, Maximiliano also obtained various additional certifications related to data science, machine learning, data analysis, and other relevant subjects from edX. These certifications include the Microsoft Professional Capstone : Data Science, Developing Big Data Solutions with Azure Machine Learning, Principles of Machine Learning: Python Edition, Data Science Research Methods: Python Edition, Analytics Storytelling for Impact, Analyzing and Visualizing Data with Power BI, Essential Math for Machine Learning: Python Edition, Ethics and Law in Data and Analytics, Introduction to Python for Data Science, and Querying with Transact-SQL.