From Data Science and Data Engineering, to MLOps and DevOps, I talk about all things data, occasionally going into tangent or off-topic subjects as well. I try to stay away from the AI trend, as there is already an overflow of content on this topic, but I do cover it from time to time, usually as a secondary topic.

Here's a bit about me as well. I have worked many years as an academic researcher of computer science, and I own a PhD in this area. I mainly focused on information retrieval (search, recommender systems), and network science (graphs, hypergraphs, network analysis), but I also did work on information extraction (entity and relation extraction, knowledge graph construction), and data analysis and visualization. Before I started doing YouTube, I was a senior data scientist working on the whole data lifecycle, from collecting and organizing data into a data lakehouse, to training classifiers and doing MLOps to bring them into production systems.