Amanda Hydar

Amanda Hydar has extensive work experience in various technical roles. Amanda most recently worked as a Machine Learning Consultant at Ashling Partners since May 2021. Prior to that, they worked as an Engineering Consultant from May 2019 to May 2021. Before that, Amanda served as a Machine Learning Research Engineer at the Texas Sustainable Energy Research Institute from May 2017 to May 2019. Amanda also worked as a Mechanical Engineer, specializing in Space Science Instrumentation, at Southwest Research Institute from September 2016 to December 2018. Amanda's earlier experience includes a role as a Research Assistant at the UTSA Research Service Center from May 2015 to October 2016.

Amanda Hydar has a Master's degree in Advanced Manufacturing and Enterprise Process Engineering from The University of Texas at San Antonio. Amanda also holds a Bachelor's degree in Mechanical Engineering from both The University of Texas at San Antonio and The University of Texas at Austin. Amanda Hydar completed an Associate of Science degree in Engineering from Austin Community College.

In addition to their formal education, Amanda Hydar has obtained various certifications. Amanda has completed courses such as Advanced SQL for Data Scientists, Cloud NoSQL for SQL Professionals, Learning Python, Learning SQL Programming, Master SQL for Data Science, Presto Essentials: Data Science, Python Essential Training, SQL Essential Training, SQL Tips, Tricks, & Techniques, and SQL: Data Reporting and Analysis from LinkedIn. Amanda has also completed courses like Programming Foundations: Algorithms and Programming Foundations: Object-Oriented Design from LinkedIn. Amanda Hydar has completed the Python3 Programming Specialization course from University of Michigan - School of Information. Amanda has also acquired skills in Using Python for Automation, Apache Spark Essential Training, Apache Spark Essential Training: Big Data Engineering, DevOps for Data Scientists, Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka, Spark for Machine Learning & AI, and Python: Data Analysis from LinkedIn.