Data Scientist
Current• Developed robust ETL data pipelines to integrate eIVF and Medesync EMR systems; improve data extraction and data reporting efficiency by 50%• Utilized Python for data cleaning, integration, and analysis of over 1.7 million rows of IVF data with 100+ features. • Conducted literature reviews and built machine learning model to predict IVF Live birth occurrence; performed regression analysis evaluating the impact of female and male ethnicity and age on IVF outcomes.