Michael La Croix
About Michael La Croix
Michael La Croix is a Senior Data Analyst with expertise in data pipeline optimization and quality assurance in reporting. He has a strong background in data visualization and has worked in various roles, including as an Ethereum Analyst and Strategy Analyst, while also engaging in non-profit development work.
Current Role at CoverMyMeds
Michael La Croix serves as a Senior Data Analyst at CoverMyMeds since 2022. In this role, he focuses on data pipeline optimization and ensures quality assurance in reporting for stakeholders. He employs advanced workflow tools such as Git, GitHub, GitLab, and AWS S3 & EC2 to enhance data projects. His expertise in data visualization and interpretation supports effective communication of insights to various teams.
Previous Experience in Data Analysis
Prior to his current position, Michael worked as a Strategy Analyst and Data Engineer at SmartAsset from 2021 to 2022. He also held the role of Ethereum Analyst at Ethereum from 2017 to 2020, where he developed skills in data analysis specific to blockchain technology. His experience includes utilizing machine learning and data modeling techniques with tools such as Scikit-learn, Pandas, and Dask.
Educational Background
Michael La Croix studied Political Science at Grand Valley State University, where he earned a Bachelor of Science (B.S.) from 2011 to 2014. He furthered his education at Hope College, studying Political Science from 2009 to 2011. In 2020, he attended Lambda School, focusing on Data Science and Machine Learning for one year, which equipped him with essential skills for his data analysis career.
Non-Profit Development Experience
Before transitioning into data roles, Michael gained experience in non-profit development work in Washington, D.C. He served as a Development Program Manager at the Center for Urban Renewal and Education from 2016 to 2017. Additionally, he worked as a Donor Relations Associate at The Leadership Institute from 2015 to 2016 and held various internships in the non-profit sector, including roles at the State Policy Network and America's Future Foundation.
Skills and Tools Utilized
Michael possesses a strong background in data visualization and interpretation, utilizing tools such as Seaborn, Matplotlib, and Google Charts. He employs machine learning techniques and data modeling using Scikit-learn, Pandas, Dask, and Kedro. His problem-solving and critical thinking skills contribute to fostering a collaborative team environment in his professional endeavors.