Christine Egan

Christine Egan is a skilled Curriculum Developer at Flatiron School, specializing in educational content related to data science, including Python, SQL, and machine learning. With experience as a Contributing Writer for Towards Data Science, Christine has authored beginner-friendly tutorials focused on data science projects. As an Analytic Consultant at ASR Analytics, Christine developed methodologies to detect synthetic ID scams and enhanced data processing techniques in Python. Prior to this, Christine worked as a self-employed Data Analyst, utilizing NLP techniques to provide actionable insights, and held various roles that emphasized community support and engagement. Christine holds a Data Science certification from Flatiron School, a Bachelor of Arts in Linguistics and Philosophy from Stony Brook University, and an Associate of Arts from Suffolk County Community College.