Data Science Engineering Intern
- Researched machine learning model explainability methods LIME and SHAP to understand which method fit the use cases desired by stakeholders and customers.- Implemented SHAP model explainability on Rollworks data with Python, Spark, Pandas, and SQL in Zeppelin Notebook.- Began creating an Airflow DAG to integrate explainability into the workflow of.