Vanessa Suarez

Vanessa Suarez is an Applied Data Scientist at Quickbase since January 2024, focusing on developing predictive models in Python to enhance customer renewal and churn risk forecasts. Vanessa's previous experience includes roles as a Solutions Engineer and Research Operations Manager at Swayable, where impactful A/B testing and operational efficiencies were implemented to improve audience behavior insights and client satisfaction. Prior experience as an Associate Data Engineer at Candid involved engineering classification data pipelines and deploying natural language processing (NLP) models. Vanessa's academic background includes a Bachelor's degree in Mathematics and Statistics from Columbia University and an Associate degree in Design and Applied Arts from Central Piedmont Community College.