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    Shane Keller

    Data Scientist @ Level - We're hiring

    Shane Keller is an accomplished machine learning engineer with a strong background in data science, data engineering, and cloud automation. He has a proven track record of developing big data applications and expertise in all aspects of constructing production-ready machine learning systems, encompassing big data accumulation, model creation, model deployment, and infrastructure management. Shane's technical repertoire includes proficiency in various machine learning tools such as Keras/Tensorflow, Spark, Dask, scikit-learn, anaconda, and jupyter. He is adept in languages like Python3 (pandas, sqlalchemy, boto, flask), SQL (Postgres), and Java8. Moreover, Shane is seasoned in utilizing data stores like Postgres (Aurora RDS), Cassandra, Redis, S3, and GCS, along with cloud platforms like AWS, GCP, Terraform, and Docker. His notable achievements include surpassing Google AutoML in a deep learning project, establishing a data platform at a hedge fund, scaling APIs at Fitbit, and crafting web applications at Khan Academy. Shane Keller is known for his quick learning ability and strong motivation, with a keen interest in working on machine learning production systems.

    Shane Keller
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    Location

    San Francisco, California, United States