Neha Ingale

Research Engineer (Data Science) @NYU Langone Health

New York, NY, US

Built and deployed enterprise-grade machine learning models achieving 88-90% predictive accuracy on large-scale datasets.• Implemented end-to-end feature engineering pipelines for computer vision and time series applications.• Applied mixed-methods research approaches combining quantitative sensor data analysis with qualitative usability testing and behavioral surveys to identify user pain points and optimize product adherence strategies.• Developed robust data validation, analysis, and archiving protocols for complex multimodal research datasets, applying both statistical modeling and qualitative analysis methods to deliver actionable insights.