Mar 2025 – May 2025 · 2 mos

• Standardized data formats across 3 distinct databases, establishing a streamlined data pipeline for faster, more efficient analysis, and improving overall team efficiency across data projects.
• Leveraged SQL to optimize data retrieval processes, reducing query execution time by 20% and enabling faster analysis of large datasets for critical business insights.
• Engineered four new features using domain expertise and data insights, increasing model F1-score by 12% and achieving top 20% accuracy versus benchmark datasets, boosting overall model performance.
• Validated model performance across diverse datasets through rigorous statistical testing and error analysis, pinpointing critical data quality issues that, once corrected, led to a 10% reduction in prediction errors.
• Collaborated with cross-functional teams to design dashboards and document solutions, enabling effective communication of insights to clients.