As a hybrid of ML engineer and modeler, my foremost passion is to build effective and reliable decision-making instruments that customers trust. I am particularly good at collecting and combining qualitative data from internal stakeholders (Product and Sales), customers, and the market to identify opportunities to align cross-team objectives and to make data and ML tasks more measurable and observable.I bring expertise in modeling with any tabular or behavioral data and I'm fluent in most popular Python libraries for data analysis, ML and Deep Learning.I excel at and enjoy connecting disparate pieces of information, and learning from data (including mistakes) just like what a good learning machine would do. I approach problem-solving by framing complex problems into more familiar ones if possible, so they are easier to work with. I benefit greatly from my diverse and nonlinear background in physics, astronomical data processing, econometrics, and artificial intelligence.