

A seasoned supply chain consultant with 12 years of cross-industry and consulting experience, specializing in analytics-driven transformation. Skilled in supply chain network design (strategic and tactical), demand forecasting, and inventory optimization.
Currently serves as a Principal Data Scientist at Cushman & Wakefield in the Supply Chain & Logistics Advisory Team. Spent nine years at Cargill and antuit.ai in various Supply Chain Analytics roles, successfully delivering consulting projects for Fortune 500 and large global/regional organizations. Also possesses one year of IT experience with Cognizant in Data Warehousing and Business Intelligence.
Leads and delivers supply chain consulting programs and projects across the Americas, EMEA, and APAC for major industrial and retail clients, creating value by identifying cost reduction or revenue generation opportunities. Typical engagements include Supply Chain Network Design and Optimization, Inventory Optimization, Whitespace Analysis, and Retail Analytics. Additionally, spearheads data science and analytics initiatives across the organization, mentors junior data science analysts, and oversees their learning and development.