Hi, I’m Greg Faletto. I’m a Data Scientist at VideoAmp, where I work on estimating the lift of advertisements and turning messy real-world data into useful metrics. In August 2023 I completed my Ph.D. in Statistics from the Dept. of Data Sciences and Operations at the University of Southern California. At USC my research focused on developing novel machine learning methods with applications in business, health, economics, and public policy.
I completed a data science internship at Google in 2021, working on A/B testing. I’ve also worked on predictive modeling as a data science intern at ZipRecruiter and Live Nation.
Besides my research in statistics, machine learning, causal inference, and econometrics, I’ve also taken graduate coursework in deep learning and reinforcement learning. I was recognized as a “Top Reviewer” for the 2023 Conference on Artificial Intelligence and Statistics (AISTATS) and I presented at the 2020 Copenhagen Workshop on Algorithmic Fairness. My team won second place in the 2020 COVID-19 Computational Challenge (hosted by the City of Los Angeles) for our model that used COVID testing data to generate daily risk scores for contracting COVID-19 in Los Angeles neighborhoods. Finally, I’ve taught classes at USC on business analytics and presenting and communicating insights from data.
To learn more about me:
- You can download my resume here.
- My GitHub has code, written summaries of projects I’ve worked on, and slides from some presentations I’ve given. You can see some highlights on my code page. Check out the R cssr package I wrote!
- My research page has pdfs of all of my papers and preprints. You can also find a summary of my research on my Google Scholar profile.
- You can learn more about my professional background on my LinkedIn profile.
- Lastly, you can also get in touch by emailing me: gregory.faletto@marshall.usc.edu.