A seasoned Data Science Manager with over 9 years of expertise in machine learning and data analytics, driving large-scale cloud-native AI solutions (AWS, GCP) at JBS USA.
A dedicated Data Science Manager at JBS USA, leveraging advanced machine learning and cloud technologies to drive business innovation globally.
A progression of leadership and technical contributions in data science and machine learning.
Leading the end-to-end development and deployment of all data science and machine learning projects across JBS USA. Successfully deployed over 10 large-scale ML models across 5 business units, driving significant operational improvements. Managed cross-functional teams, including internal data scientists and external partners, fostering a collaborative environment. Established the cloud architecture for data science projects and designed edge deployment strategies for computer vision across 75 plants in USA and Canada. Developed and implemented the company's AI policy, ensuring ethical and secure AI application. Continuously maintain and manage the data science training program, contributing to the advanced skill development of over 30 participants.
Designed the foundational AWS architecture for JBS USA's machine learning and data science initiatives, establishing a robust data lake utilizing services like Redshift, Athena, and Glue Catalog. Optimized shipping logistics for export orders using Gurobi, yielding a minimum savings of $2.5 million. Developed and deployed a cattle counting model with near 100% accuracy, providing critical business insights for processing approximately 5000 cows per plant.
Contributed to high-ROI projects focused on increasing JBS USA's revenue through advanced analytics. Leveraged AWS's intricate platform to develop and deploy machine learning models, including DeepAR and Facebook's Prophet, for long-term forecasting of beef and cattle prices. Created interactive Tableau dashboards, empowering business leaders with visual insights to track progress and make data-driven decisions.
Integrated disparate SQL databases from various local authorities, including Blue Light services, Royal Mail, and Electoral Roll. Engineered a unified, non-redundant dataset using Python and advanced data cleaning techniques. Generated critical insights from complex data, directly influencing changes to council tax terms and significantly increasing revenue.
Measurable successes and strategic initiatives driven by data science leadership.
Designed and implemented scalable cloud architectures for data science projects and edge deployment strategies for computer vision across JBS USA's production plants.
Optimized shipping of export orders using advanced optimization techniques (Gurobi), resulting in significant cost reductions for JBS USA.
Developed and implemented the comprehensive AI policy for JBS USA, ensuring safe, secure, and ethical application of artificial intelligence across all operations.
Deployed a highly accurate cattle counting model critical for business operations, processing 5000+ cows per plant with precision.
Maintained and managed a robust data science training program, significantly enhancing the advanced data science skills of team members.
Developed and deployed advanced forecasting models (DeepAR, Prophet) for critical business metrics like beef and cattle prices, informing strategic decisions.
Core competencies in data science, machine learning, and cloud technologies.
Academic background and professional development milestones.
I'm always open to discussing new opportunities and innovative ideas.
I'm always open to discussing new opportunities, innovative ideas, or potential collaborations in data science and AI. Feel free to reach out through the contact form or connect with me directly through my social media profiles.
I typically respond to all inquiries within 24-48 hours.