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I am a data scientist with experience in clinical genomics. I am also a Python enthusiast and an open-source advocate. My ambition is to create software that leverages data to improve human health. Experience: Creating machine learning models with scikit-learn and deep learning models using Keras and TensorFlow. Delivering natural language processing solutions for named entity recognition. Collaborating on software projects using git for version control. Optimizing algorithms on high-performance computing platforms. Python, R, Perl, SQL, shell scripting, and cloud computing. Personal: I developed and currently maintain Imputer, an open-source genome imputation application that performs genotype imputation for members of the non-profit organization, Open Humans. I am active in the open-source community, frequently developing and contributing to open-source repositories on GitHub. Occasionally I compete in machine learning challenges or write kernels on Kaggle (https://www.kaggle.com/kevinarvai/kernels). I also enjoy participating in hackathons and local coding meetups.
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