Data Analyst, Pharma Machine Learning & Ai At Cardinal Health
CurrentTeradata Database Retirement Project- Oversaw code base overhaul as part of company-wide effort, while maintaining timelines and nogaps in product delivery.- Mapped 200+ congruent data fields across systems (Teradata, CCDB, CCA, SAP), usingCollibra and Excel.- Refactored and enhanced SQL queries and Python Airflow DAGs.- Partnered with lead engineer to create standards for new code base and projects to come.Analytics Partner – Project “Price Is Right”- Engineered procedure using SQL Stored Procedures in BigQuery to suggest 300,000+ additionalpricing opportunities each week based solely on search data, resulting in an estimated $2M peryear in new revenue.- Collaborated with business leaders to identify, interpret, and leverage data for informed decision-making.- Revamped an existing process, using BigQuery, to deliver clearer data and utilized Tableau forenhanced visualizations, enabling leaders to gain better insights on their employee utilization.- Implemented a streamlined data profiling process using Python.- Developed automated testing frameworks to validate our machine learning models.- Developed automated functional tests for machine learning models.