• Wide range of tools used such as Python, Tableau, SQL, Alteryx, Excel, Hadoop, Spark - used to create machine learning analysis, data pipelines, and data visualizations for many different business customers
• Advanced business knowledge from building data/data products in supply chain (MRP/ERP Systems), financials, human resources, and engineering
• Developed key communication skills from directly interfacing with clients: Empathetic listening, summarizing and presenting work to management/executives, and strategically proposing/scoping projects
• Data Scientist in the Business Facing Analytics & Insight Team, responsible for time-sensitive projects and needs arising from various areas of the company including Global Supply Chain, Engineering, and specific requests from Leadership
