Daniel Firebanks-Quevedo is a Seeking 2025 New Grad Opportunities in ML/SWE | USC | Ex-ML Engineer @ IBM Watson at Google. He possess expertise in python, java, team leadership, c, music and 19 more skills. Colleagues describe him as "Daniel joined the PCAOB for a full-time data science internship. In the short time that he was part of our team, he made tremendous contributions. The main project he worked on was a difficult text parsing work and the team was running out of new ideas to achieve a high accuracy in our text capture and parsing efforts. First, Daniel greatly improved our HTML parsing algorithms by coming up with clever new tag classification methods. But because the text and the HTML codes we were trying to capture had so many variants, he quickly reached the limits of what can be done with the HTML parsing. He then researched other methods and discovered an interesting machine learning program that was developed for an academic setting but could easily be applied to our problem with some modifications.  He even used his personal computer to move the project along when the IT team took a very long time to install the programs we needed to test this new ML method. Before the end of his internship, he was able to run a test program to show us that with this new ML model our parsing accuracy would improve from approximately 70% to over 90%.  Along with his technical skills and creative ideas, Daniel also brought a very positive, can-do attitude to his work.  It was a real pleasure to work with him!"