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Dan Friedman
Data Engineering & Science
Dan Friedman is a dedicated individual who is passionate about learning new technologies and enhancing his knowledge. With a keen interest in utilizing his skills to tackle challenges for the greater good, Dan has a diverse range of interests spanning transportation, sustainability, manufacturing, developer tools, education, health & wellness, and more. He thrives in data-driven environments where information guides decision-making and evaluates the impact of products. Dan's proficiency includes Python, SQL, Airflow, AWS stack (S3, Kinesis, Firehose, Glue, Athena), Pandas, Terraform, Docker, Spark, Matplotlib, Seaborn, and sci-kit learn, enabling him to excel in data engineering, analytics, and machine learning. He actively shares his expertise through tutorials on his personal website.
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