Sam Heckendorf
About Sam Heckendorf
Sam Heckendorf is a Data Scientist II at Classy, specializing in MLOps and cloud computing with AWS. He has a background in project management and expertise in Snowflake and Snowpark, with prior experience as a Data Strategy Insights Analyst.
Work at Classy
Sam Heckendorf currently serves as a Data Scientist II at Classy, a position held since 2023. In this role, he operates in a hybrid work environment based in San Diego County, California. Prior to this, he worked as a Data Strategy Insights Analyst at Classy from 2021 to 2022. His experience at Classy encompasses various data-related tasks, showcasing his ability to leverage data for strategic insights.
Education and Expertise
Sam Heckendorf earned a Bachelor's degree in Computational and Applied Mathematics from the University of Southern California, completing his studies from 2017 to 2021. His educational background provides a strong foundation for his expertise in data science, particularly in MLOps, AWS, Snowflake, and Snowpark, which are critical for deploying and maintaining machine learning models and managing data warehousing solutions.
Background
Before joining Classy, Sam Heckendorf gained experience as an Underwriter at Gran Ciudad in 2019 for a brief period of two months in Mexico City. Additionally, he worked as a Body Shop Consultant at Full Impact Technologies in 2018 for three months in Denver, Colorado. These roles contributed to his diverse professional background, enhancing his project management skills.
Skills in MLOps and Project Management
Sam Heckendorf possesses skills in MLOps, focusing on the deployment and maintenance of machine learning models in production environments. His project management skills indicate a capability to lead and manage data-related projects effectively, ensuring that projects are completed on time and meet organizational goals.
Experience with Cloud Computing
Sam has experience using Amazon Web Services (AWS) for cloud computing solutions. His proficiency in AWS supports his work in data science, allowing him to utilize cloud resources for data processing and analysis, which is essential for modern data-driven decision-making.