Kyle Pacheco
About Kyle Pacheco
Kyle Pacheco is a Software Engineer with experience in big data and machine learning. He has worked at various organizations, including Revature and eQ Technologic, and holds both Bachelor's and Master's degrees in Mathematics from California State University, Northridge.
Work at eQ Technologic
Kyle Pacheco has been employed as a Software Engineer at eQ Technologic since 2021. He works remotely and has accumulated three years of experience in this role. His responsibilities include developing software solutions and contributing to various projects that align with the company's objectives.
Previous Experience at Revature
Prior to his current position, Kyle worked at Revature as a Big Data Software Engineer for four months in 2020. His role involved utilizing big data technologies to handle and analyze large data sets, contributing to the development of data-driven applications.
Experience at STEM-Away
In 2020, Kyle participated in the STEM-Away program, focusing on the Machine Learning Pathway for one month. This experience allowed him to deepen his understanding of machine learning concepts and apply them in practical scenarios.
Graduate Researcher at California State University, Northridge
Kyle served as a Graduate Researcher at California State University, Northridge from 2017 to 2020. During this three-year tenure, he engaged in research activities that contributed to his academic and professional development in the field of mathematics and data analysis.
Education and Expertise
Kyle Pacheco earned both his Bachelor's and Master's degrees in Mathematics from California State University, Northridge. His undergraduate studies spanned from 2009 to 2017, followed by his graduate studies from 2017 to 2020. His educational background provides a strong foundation for his expertise in software engineering and data analysis.
Technical Skills and Projects
Kyle has utilized various technologies in his projects, including Spark and Spark-SQL in Scala for analyzing Covid-19 and Twitter data sets. He has also applied Hadoop MapReduce and Hive for data analysis on Wikipedia data. Additionally, he built a command line interface application using MongoDB and Scala, showcasing his programming capabilities.