Luke Schanne

Data Scientist @ Rue Gilt Groupe

About Luke Schanne

Luke Schanne is a Data Scientist with expertise in big data processing using Databricks and PySpark. He has a strong educational background, including a Master's degree from UC Berkeley and a MicroMasters from MITx, and has held various roles in data analysis and application development.

Current Role at Rue Gilt Groupe

Luke Schanne currently serves as a Data Scientist at Rue Gilt Groupe, a position he has held since 2022. In this role, he focuses on enhancing the online shopping experience through data-driven strategies. He implemented a strategy to improve product sorting, which aims to optimize user engagement and satisfaction. His responsibilities include developing automated evaluation jobs using Databricks and Airflow, as well as performing code testing and reviews to ensure data model quality.

Previous Work Experience

Before joining Rue Gilt Groupe, Luke Schanne accumulated diverse experience in the tech industry. He worked as an Application Developer at Greenphire from 2018 to 2020, where he contributed to application development projects. Prior to that, he was a Data Analyst at In-Depth Engineering from 2016 to 2018, focusing on data analysis tasks. His earlier role as a Distribution Coordinator at Owens & Minor in 2014 provided him with foundational experience in logistics and operations.

Education and Expertise

Luke Schanne has a strong educational background in data science and engineering. He earned a Master's degree in Information Technology from UC Berkeley School of Information in 2021. He also completed a Statistics and Data Science MicroMasters through MITx Courses from 2019 to 2020. Additionally, he holds a Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering, Mathematics, and Business Administration from Villanova University, which he completed from 2012 to 2016.

Technical Skills and Tools

Luke Schanne possesses expertise in several technical tools and methodologies essential for data science. He utilizes Databricks notebooks with PySpark for distributed processing on large datasets. He manages workflows using Airflow DAGs in Managed Workflows for Apache Airflow (MWAA), which enhances data processing efficiency. His technical capabilities also include writing technical specifications and documentation to support various data science projects.

Early Education

Luke Schanne completed his early education at Conestoga High School from 2008 to 2012. This foundational education set the stage for his subsequent studies in engineering and data science, leading to his advanced degrees and professional career in technology.

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