At Z Collective I’ve had the opportunity to be a part of the time series anomaly detection (TSAD) team, for which I was responsible for exploring the potential use of TSAD in the kernel space. Recently I shifted to the cloud native team, as my partner had to take a step back due to life circumstances. In this role I’m collaborating with a student on a cloud native machine learning service, and creating the associated documentation.

This role was through our business consulting class, and gave me the opportunity to experience the discovery process from an external consultant’s perspective. We were tasked with analyzing the current processes, researching industry standards, and proposing improvements to the current processes. My role on the team was data manager, in which I was responsible for organizing and analyzing the team’s notes and research to help direct future discovery efforts.

During my second internship I inadvertently ended up in a data analyst role after the project management role I was initially assigned to lost funding. As a result I got experience working with large datasets containing multiple years of department sales data, as well as multiple data analysis and visualization tools. Our intern group project was to create a dashboard to monitor the access system’s data and identify trends in crashes or issues caused by exceeding system capacity.