Data Scientist with 2+ years of experience improving entity resolution systems, identity graphs, and fraud detection. Proven ability to drive revenue from data by collaborating with stakeholders to assess their needs, prototyping solutions, and guiding the final engineering implementation.As an experienced presenter and communicator, I have delivered presentations on various technical topics to large audiences and stakeholders. I am also skilled at translating complex technical concepts into language that is easy for both technical and non-technical audiences to understand.With a strong understanding of graph theory, explainable ML, and cutting-edge modeling techniques, I design and develop systems that meet the demands of real-world production environments. In addition to solid fundamentals of common modeling strategies such as decision trees, Linear/logistic regression, bagging/boosting, and conventional/convolutional/recurrent neural networks, I have specialized experience in deep similarity learning, transformer models, graph neural networks, and community detection systems.I am passionate about using data to solve real-world problems and positively impact the world. I always seek new challenges and opportunities to apply and develop my skills.