Shubham Kulkarni

• Led data analysis project at Northwell Health, optimizing patient care with insights from electronic health records, claims, and demographics data. • Proficiently utilized SQL to extract and transform intricate healthcare datasets, ensuring data integrity and preparing it for in-depth analysis. • Leveraged Python's capabilities for statistical analysis and predictive modeling, enabling accurate forecasting of patient care requirements. • Implemented machine learning algorithms, including Random Forest and Logistic Regression, achieving an impressive 85% accuracy in identifying high-risk patients. • Used Spark's Data Frame API which helps in easy manipulation, transformation, and cleansing of complex healthcare datasets, ensuring data integrity and consistency. • Designed interactive Tableau dashboards that offered healthcare providers real-time insights into patient populations, aiding timely and informed decision-making. • Utilized AWS for data warehousing and analytics, enabling high-performance querying and analysis of large healthcare datasets. • Mined and analyzed electronic health records (EHR), claims, and demographic data to uncover nuanced trends, contributing to a notable 15% reduction in unwarranted medical procedures. • Successfully elevated preventive interventions by 20%, thereby positively impacting patient care outcomes and long term wellness. • Created detailed visualizations of patient data trends and model predictions using Matplotlib, improving the interpretability and communication of complex healthcare insights.