Summary
Filipe Casal is a data-driven Market Intelligence and Commercial Services professional with eight years’ experience applying SQL, Python, Excel and Power BI to forecast demand, optimize sales incentives and build analytical platforms for FMCG and pharmaceutical markets. Currently a Senior Associate at SC Johnson, he combines hands-on quota and incentive calculations with projects to improve data quality and automation across regional sales. His background in Industrial Engineering and formal studies in Data Science & Machine Learning enable him to translate business problems into ML forecasting models and OLAP solutions that support GTM strategy. He has led end-to-end GTM analytics projects, leveraged shopper and IQVIA market audits for product teams, and built company-wide demand cubes that became the single source for planning. Based in Rio de Janeiro, Filipe pairs a pragmatic commercial focus with continuous improvement habits rooted in Lean methodologies learned during early roles. Colleagues benefit from his blend of technical depth and practical, results-oriented commercial insight.
8 years of coding experience
Data Science & Machine Learning, Data Science & Machine Learning at Tera
Engineering Degree Industrial Engineering, Engineering Degree Industrial Engineering at UERJ
Gestão Empresarial, Gestão Empresarial at COPPEAD UFRJ
Industrial Engineering and Management Engineering and Business, Industrial Engineering and Management Engineering and Business at Zuyd University of Applied Sciences
Portuguese, English