Michelle L.
About Michelle L.
Michelle L. is an Analyst at Analysis Group with a background in data science and digital humanities from UCLA. She has held various roles in data-related projects and organizations, including DataRes at UCLA and Data 4 Good, Inc.
Current Analyst Role at Analysis Group
Michelle L. has been working as an Analyst at Analysis Group since 2022. In this role, she is likely involved in extensive data analysis, report generation, and providing insights that inform strategic decisions. Analysis Group is known for its rigorous analytical approach, which suggests Michelle is utilizing advanced statistical techniques and methodologies in her work.
Career at DataRes at UCLA
Michelle L. held multiple positions at DataRes at UCLA, including Co-President in 2021 and Data Blog Head from 2020 to 2021. As Co-President, she led the organization, overseeing projects and guiding members. In her role as Data Blog Head, she managed the creation and publication of data-centric content. Prior to these roles, she served as Project Lead and Data Blogger from 2019 to 2020, focusing on data-driven initiatives and content development.
Contributions to Clean Air Project at Data 4 Good, Inc.
In 2020, Michelle L. contributed to the Clean Air Project at Data 4 Good, Inc. as part of the product team. Her contributions would have involved using data analytics to address environmental issues related to air quality. This role underscores her commitment to leveraging data science for social good.
Educational Background in Statistics and Digital Humanities at UCLA
Michelle L. obtained a Bachelor of Science degree in Statistics and a minor in Digital Humanities from the University of California, Los Angeles, between 2018 and 2022. Her interdisciplinary academic background combines rigorous statistical training with an understanding of the humanities, equipping her with a unique skill set ideal for analyzing complex datasets in various contexts.
Experience as an Undergraduate Data Science Researcher
From 2020 to 2022, Michelle L. worked as an Undergraduate Data Science Researcher in the Digital Humanities department at UCLA. In this role, she participated in interdisciplinary research projects, applying data science methodologies to humanities-related inquiries. This experience highlights her ability to bridge the gap between quantitative analysis and qualitative insights.