Ran Lin is a highly experienced Data Scientist and Machine Learning Engineer with a strong background in Apache Spark, Python, and Amazon Web Services (AWS). With a demonstrated history of working in the real estate industry, Ran has an impressive skillset in R and gRPC, which has allowed him to excel in his professional roles. He studied Master's in Electrical and Computer Engineering at The Ohio State University and completed his Bachelor's in Electrical and Electronics Engineering at Tsinghua University.

Ran has worked in various organizations, including Cash App, Square, Opendoor, SafeAuto, and Franklin University, in roles from Machine Learning Engineer to Instructional Coordinator. His experience leads him to have exceptional technical abilities and instills confidence in his ability to adapt to different environments.

In his position at Cash App, he provides technical expertise by using his machine learning and data science experience to identify patterns in data and provide valuable insights. His former positions at Square, Opendoor, and SafeAuto equipped him with the ability to develop product R&D, analyze core metrics and designs, and manage the technical aspects of a project.

Overall, Ran Lin is an accomplished Data Scientist who brings an exceptional level of performance to any organization he joins. His expertise in Apache Spark, Python, and Amazon Web Services contribute to his strong engineering background and position him as an advantaged candidate in the tech industry.