Senior Data Scientist
Current- Improve diagnostic prediction accuracy by 25% by developing and applying machine learning algorithms to analyze medical imaging data from electronic health records (EHRs)
- Reduced manual reporting by 40% through automated workflows with Python and SQL, leading to more accurate and consistent reporting and a 12% increase in data-driven project success rates
- Collaborate with key stakeholders to understand business needs, pulling data from multiple sources using SQL and creating customized analytics that helped reduce decision-making time by 20%
- Contribute to end-to-end analytics projects, from data gathering and requirements specification to processing and delivering actionable insights
- Identify data discrepancies and implemented cleaning processes, increasing data accuracy by 30%, while establishing validation checks and automated quality controls to ensure high data integrity for analysis and.