Abraar Khan
About Abraar Khan
Abraar Khan is a Data Analytics Developer at Teleflex, with a background in data analysis, software reliability, and chemical engineering.
Current Role at Teleflex
Abraar Khan is a Data Analytics Developer currently working remotely at Teleflex. In this role, he focuses on developing and deploying data models to enhance enterprise-wide analytics capabilities. His responsibilities include sourcing, vetting, and deploying data models that serve stakeholders at all levels, thereby facilitating a more integrated and insightful business environment.
Previous Role at Ally
Abraar Khan previously worked at Ally as a Data Analyst II - Business Optimization and Strategy for seven months in 2021, based in Costa Mesa, California. At Ally, he was involved in business optimization and strategic data analysis, contributing to enhancing business processes and strategy formulation through data-driven insights.
Software Engineering Experience at Atmos International
From 2017 to 2021, Abraar Khan held two roles at Atmos International. As a Software Reliability Engineer from 2019 to 2021, he focused on ensuring the reliability and performance of software applications. Prior to that, from 2017 to 2019, he worked as a Software Maintenance Engineer I in Anaheim, California, where he was responsible for software support and maintenance activities.
Technical Consulting and Research Roles
In 2016, Abraar Khan operated as a Technical Consultant at Phenomenex in Torrance, CA, for three months, providing technical expertise and consulting services. Earlier in his career, he worked at Eulgem Lab at the University of California Riverside. He served as a Research Scientist for two months in 2015 and as a Laboratory Assistant from 2014 to 2015, where he was engaged in various research and laboratory tasks.
Education and Academic Background
Abraar Khan completed his Master of Science (MS) in Computer Science from California State University, Fullerton, between 2019 and 2023. Before that, he earned a Bachelor's Degree in Chemical Engineering from the University of California, Riverside, where he studied from 2012 to 2016. His comprehensive academic background supports his multifaceted professional roles in data analytics and software engineering.
Key Projects and Initiatives
Abraar Khan has undertaken significant projects, including developing custom visuals in PowerBI using Python to align executive expectations with data visualization. Moreover, he has experience migrating reports to PowerBI, enabling cross-platform analytics from multiple data sources such as SAP Hana, MariaSQL, and SQL Server. These initiatives have helped increase data granularity and provided deeper context for data analytics.