Noah P.
About Noah P.
Noah P. is a Data Engineer currently employed at Loopback Analytics, where he has worked since 2021. He has a background in data engineering and analytics, with a Master's degree in IT & Management and a Bachelor's degree in Economics from The University of Texas at Austin.
Work at Loopback Analytics
Noah P. has been employed at Loopback Analytics as a Data Engineer since 2021. In this role, he focuses on leveraging data to support analytical initiatives and enhance decision-making processes within the organization. His experience in data engineering is complemented by his background in analytics and machine learning, which he developed through various projects and academic pursuits.
Previous Experience at HEB
Prior to his current position, Noah P. worked at HEB as a Checker from 2015 to 2021. During his six years in this role in Austin, Texas, he gained valuable experience in customer service and operations, which contributed to his understanding of data's role in business processes.
Internship at Allergan
In 2019, Noah P. completed a two-month internship at Allergan in Austin, Texas. This experience provided him with exposure to the pharmaceutical industry and allowed him to apply his academic knowledge in a practical setting, further enhancing his skills in data management and analysis.
Education and Expertise
Noah P. holds a Master of Science degree in IT & Management from The University of Texas at Austin, which he completed in 2021. He also earned a Bachelor's degree in Economics from the same institution, graduating in 2020. His academic background has equipped him with a solid foundation in data engineering, analytics, and machine learning, enabling him to effectively tackle complex data challenges.
Projects at The University of Texas at Austin
During his time at The University of Texas at Austin, Noah P. worked on multiple unique projects that provided him with hands-on experience in databases, data engineering, data analytics, and machine learning. These projects allowed him to develop practical skills and apply theoretical knowledge to real-world data problems, reinforcing his passion for solving issues using data.