Gina Soileau

Gina Soileau is a data scientist known for her expertise in utilizing statistics and machine learning to address intricate challenges and extract valuable insights from data. She is dedicated to advocating for the significance of data-driven analytics, particularly to audiences without technical backgrounds.

Her educational background includes completing courses in Data Scientists Toolkit, R Programming, Human-Computer Interaction (HCI) on Coursera, obtaining a Data Science certificate from Metis Data Science Bootcamp, achieving Level I status at Chartered Alternative Investments Analyst (CAIA), and earning a Bachelor of Science in Computer Science from SUNY Empire State College.

Gina has held positions such as Data Scientist at Metis, Junior Data Scientist at The Orchard, and roles in freelance web design and development, business analysis, and systems engineering at Moore Capital Management.

Her diverse educational and professional background equips Gina Soileau with a broad skill set to tackle data science challenges effectively and communicate their significance to various audiences.