Kaleb Schultz is a diversely skilled Graph/Data Analyst professional working as a Senior Technical Analyst in the Enterprise AI and Advanced Data department of Enterprise Knowledge (EK). Kaleb has five years of experience working in data science (machine learning and graph/data engineering), automation and process improvement implementation, client relation management, and problem solving. Kaleb’s expertise lies in being a technical liaison between the client and his development team. He excels in understanding client needs and requests and translating that into high quality deliverables. Kaleb has developed graph-based machine learning entity resolution scripts in AWS, automation practices in python and Excel’s VBA, and has experience in building graph databases from scratch as well as transitioning relational data to non-relational databases. His outlook on work emphasizes the importance of coordination and inclusiveness: Kaleb held daily standups with both internal and external executive leadership and understands the importance and value-add of clear communication and planning.