2022 — Present
Worked with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Effectively implemented theoretical concepts and communicated them to stakeholders and other data scientists to improve the performance of existing data science initiatives. Leveraged Spark on Databricks to derive insights from billions of observations to increase the efficiency of building trucks in factories. Developed an end-to-end recommendation system to automate competitively pricing more than 13,000 aftermarket truck parts. Coordinated with different functional teams to improve the performance of machine learning models and scalability of code.