About

Jason Keung is an accomplished Data Engineer and Data Scientist with over 9 years of relevant experience. He is currently employed at Facebook as a Data Engineer, where he contributes to the development and maintenance of data pipelines, data warehousing, and data modeling. Jason's technical expertise lies in Python and SQL, and he has worked on various open-source projects in his free time. Jason has a Master's degree in Machine Learning from the Georgia Institute of Technology and has actively contributed to several open-source projects. He is passionate about networking and exploring new opportunities within the data engineering and data science industries. Throughout his career, Jason has demonstrated his ability to collaborate with cross-functional teams and facilitate client work sessions to translate business requirements into process and technology components. He has extensive experience in the entire System Development Life Cycle and has actively learned and implemented new technologies, improved processes, troubleshooted issues, and mentored others. Jason's specialties include Data Warehousing, Data Pipelines, Data Modeling and Design, SQL, Python, Machine Learning, Predictive Analytics, and Data Science. He has previously worked as a Senior Data Engineer at Capital One and a Data Engineer at WeddingWire, where he led and implemented custom scalable solutions and built ETL pipelines and dashboards to track various metrics across the platform. He has also taught best practices for Python clean coding and collaborated with product teams and data scientists to define key metrics. Jason's technical stack includes Data Engineering, SQL, Python, Machine Learning, Data Science, Research Scientist, and ETL. He is a highly motivated individual with a passion for learning and exploring new technologies.