Daniel Yates is a Principal Data Scientist and Global Procurement Analytics Lead at Kyndryl. He possess expertise in leadership, six sigma, it strategy, powerpoint, intelligence and 38 more skills. He is proficient in English. Colleagues describe him as "Daniel and I have worked closely together for several years, and his expertise has been invaluable to me and many others. His raw intelligence is downright scary, but it’s the combination of that, a top-notch work ethic, and his military experience and concomitant discipline which takes his performance to the extremely skinny right end of the distribution. He is recognized throughout IBM as one of the very best data analytics people in the business, and he has positively impacted the company’s business results both through deals he has helped structure and internal organization he has helped improve. His skills development has impressed me greatly; fluent in R, Python, SPSS and a whole stack of other technologies I can’t remember or spell, he’s a veritable swiss army knife slicing the data till they bleed insight. Hire this man, you won’t regret it." and "I worked with & mentored Daniel for over 6 years at IBM. He was an invaluable source in co-authoring the global standard for performance management & metrics for Integrated Service Teams; he was one of the first wave of internally recognized Data Scientists in IBM; and he was a proactive member of my patent development team, bringing ideas & coauthoring 2 patent submissions with me. Daniel's most valuable contributions were to the data science profession within IBM & GTS. Technically, he developed a mobile service level achievement estimation service that revolutionized outsourcing cost negotiations. Professionally, he created an apprenticeship program to expand the data science profession in IBM; he was a passionate mentor with a global focus; and he was viewed by myself as a reliable reference for detailed data science techniques -- I would often refer others to him who had questions on implementation or code for quality review. Daniel lived the practices we want from our data science leaders - social coding & collaboration, innovative to bring data science techniques to new areas of the business, and informative, helping non-data leaders & professionals understand and trust the insights. I truly trust that the data science profession in GTS is in capable hands with Daniel as a key leader."