Dell Technologies is a multinational technology company that is well known for its computers and monitors but also offers technology solutions including servers, storage, and various services.
Dell Services is the largest branch of Dell Services and encompasses consulting, deployment, support, managed, and education services. I was on the Services Data Solutions (SDS) team, which works to enable data science users throughout the entirety of Dell Services.
My internship focused on the vast usage logs generated by the Azure hybrid cloud ecosystem that SDS manages; there were petabytes of unexplored usage logs and thus an emerging opportunity to discover key findings and harness the usage logs to continuously improve the ecosystem.
I was given guidelines for how to find the many kinds of usage logs and a general goal of improving the ecosystem, but beyond that, the project was very open and the specifics were left to my discretion.
I had to break down the broad, complex problem to determine what data was useful, how to analyze it, and what kinds of solutions I could deliver to improve the ecosystem. Ultimately, I created a platform for value generation within the ecosystem that aimed to directly improve the value already provided to users as well as increase the frequency and efficiency with which the core team (Services Data Solutions) was able to improve the ecosystem.
My platform has three main components: an Azure Anomaly Detection Model, a SQL Query Network Graph, and a Databricks Usage Dashboard.