Graduated with a BS in Electrical Engineering from UT Austin. While I primarily focused on communications, networks, and systems, my coursework also provided me a solid foundation in programming and data structures. I currently work as an RF Engineer at AT&T, where I not only densify our local LTE and 5G network through small cells, but also utilize SQL and Python to validate the health of small cells upon launch and audit various details of small cells across a myriad of databases. I have a demonstrated history in system engineering, process automation, wireless engineering, and data analytics. I thrive on reducing cycle times and softening my teammates' workload through automation and thus improving work processes in the long run. I rely on my strong interpersonal skills, willingness to learn, and attention to detail to deliver solutions that are best suited for my team.
My first role as a system engineer within AT&T’s Technology Operations department sparked my interest in the data science field as my work ranged from process improvement and automation of AT&T’s voice service to development of policies that more quickly diagnose operation teams’ trouble tickets, reducing their ticket volume. With this type of exposure, I ultimately became intrigued by how we could most efficiently and ethically leverage available data to generate better insights in managing our global network. I would like to pivot into testing and validation of new technology through data-driven insights. Looking to also venture into the consulting realm and empower different companies with custom-made data science solutions and assist relevant parties in making data-driven decisions.