Lucas De Oliveira is a data analyst with 10 years of experience who combines an Industrial Engineering BSc with an MS in Data Science to deliver production-ready analytics and forecasting solutions. He has driven measurable business impact across manufacturing, sales operations, and enterprise environments by automating reporting pipelines, building regression and tree-based forecasting models, and reducing processing times from days to hours. At Federal Signal he engineered modular Python workflows, Selenium scrapers, and ML models (including XGBoost) that achieved cross-validated 8% MAPE and automated lead/contract reporting via Microsoft Graph. He brings cloud and BI experience from Amazon and Redshift/QuickSight work, plus hands-on Power BI, Excel automation, and Azure migration familiarity. Known for translating business needs into robust, auditable pipelines, he emphasizes reproducibility through logging, dynamic foldering, and stakeholder-ready reporting. Outside the obvious technical skillset, he mixes a practitioner’s rigor with prior leadership experience running a student consultancy, giving him a knack for aligning analytics with commercial priorities.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree Industrial Engineering/Engineering Management, Bachelor's degree Industrial Engineering/Engineering Management at Universidade Federal Fluminense
Master of Science - MS Data science, Master of Science - MS Data science at DePaul University
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