Angie Becerra
Data-Driven Supply Chain Analyst | I Automate What Others Track | Python, SAP & Excel Macros | Bridging Data, Compliance & Material Flow | Lean Systems in Regulated Environments |
- Role
- Mrp Analyst at Johnson & Johnson at Johnson & Johnson
- Location
- West Palm Beach, FL, US
- LinkedIn followers
- 500 followers
About Angie Becerra
Bilingual MRP Analyst at Johnson & Johnson, bringing a hybrid background in supply chain automation, regulatory compliance, and data-driven planning. Promoted internally after driving impactful projects across materials management and logistics. Automated PSI reporting and BOM traceability using Python, SAP, Excel macros, HTML, and AI—reducing cycle time and human error for multiple Projects. Streamlined material visibility and planning workflows by applying Lean Manufacturing and JJPS principles. Previously managed Vertical Lift Modula (VLM) systems, improving internal logistics while ensuring compliance with ISO 13485, FDA 21 CFR Part 820, and ISO 14971. Supported TUV audits, design control implementation, and quality investigations across digital health systems. At Florida Department of Transportation, built Python and Power BI dashboards to analyze infrastructure data and optimize state resource allocation. At Wells Fargo (official bank of the University of Florida), supported client-facing operations and used Excel and SQL to track transaction trends and streamline reporting.I bring a hands-on, solutions-driven mindset to complex supply chain challenges—blending automation, analytics, and compliance to create scalable impact. Let’s connect if you\'re passionate about automating supply chain processes, improving operational efficiency, or building data-driven systems in complex environments.
Experience
Mrp Analyst at Johnson & Johnson
Mar 2025 — Present · Palm Beach Gardens, FL, US
Promoted to MRP Analyst to lead automation initiatives and enhance supply chain visibility across material planning operations-Developed and implemented custom automation tools using Python, Excel macros, SAP, and HTML to streamline PSI (Projected Supply Inventory) reporting for the OBE Conway Project—reducing manual input errors and improving reporting speed and accuracy-Automated BOM (Bill of Materials) breakdowns, allowing planners to quickly identify sub-component relationships and improving material flow analysis-Partnered with supply chain teams to ensure real-time visibility of inventory movement and accurate demand planning through data-driven automation-Contributed to JJPS-aligned efforts by improving reporting workflows, reducing redundant processes, and enhancing cross-functional data access-Supported adoption of scripts and dynamic dashboards to provide planners with fast, actionable insights.
Education
University of Florida
Bachelor's degree & Master's Degree (Dual Degree Program), Computer Science & Supply Chain Management
2021 — 2024
Palm Beach State College
Associate's degree, Information Systems Finance & Business Administration
2019 — 2020
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