Michael Ortega

Data Analyst @ Correlation One

About Michael Ortega

Michael Ortega is a Data Analyst with experience in various roles, including his current position at Correlation One and previous work at Amazon. He holds a Bachelor's Degree in Health Services Administration from Florida International University and has participated in a data analytics program focused on real-world problem-solving.

Work at Correlation One

Michael Ortega has been employed as a Data Analyst at Correlation One since 2022. In this role, he focuses on data analysis and visualization, contributing to projects that require a deep understanding of data-driven decision-making. His responsibilities include developing data pipelines and utilizing various analytical tools to derive insights from complex datasets.

Current Employment at Amazon

Since 2020, Michael Ortega has worked as a Warehouse Associate at Amazon. His role involves managing inventory, fulfilling orders, and ensuring efficient warehouse operations. This position has provided him with hands-on experience in logistics and supply chain management.

Education and Expertise

Michael Ortega studied at Miami Dade College, where he earned an Associate's Degree in Pre-Nursing Studies from 2007 to 2010. He later attended Florida International University, achieving a Bachelor's Degree in Health Services Administration from 2011 to 2017. Additionally, he participated in a 16-week intensive data analytics program, focusing on real-world business and technical problem-solving.

Background in Internships

Michael Ortega has completed several internships that provided him with practical experience in various fields. He interned at Urological Consultants of Florida, P.A. in 2019 and at Baroma Health Partners in 2017, both located in the Miami/Fort Lauderdale Area. These internships contributed to his understanding of healthcare operations and data management.

Data Analysis Projects and Skills

Michael Ortega has developed a comprehensive data pipeline using Excel, Python, and Tableau to visualize analytics results. He created a structured 14-week project plan that included weekly meetings to manage deliverables and maintain project timelines. His skills in data analysis and project management are integral to his current roles.

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