Geronimo Acevedo

Audit Manager @Tenaris

Houston, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2021 — Present

Audit Manager @Tenaris

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Хьюстон, TX, US

Led innovation initiatives to modernize audit and control processes using drones, computer vision, and AI-Developed a YOLO-based prototype for automatic inventory recognition in industrial yards-Designed and implemented a machine learning solution to detect travel expense anomalies, combining predictive pricing models and LLM-based invoice classification using GPT-4o-Built Power BI dashboards and Python pipelines to automate findings tracking and data analysis in global audits-Managed internal audits for IT/OT, compliance (SOX), cybersecurity, and vendor risk across multiple countries.

EDUCATION

2006 — 2013

Universidad Nacional de La Plata

Computer Science, Informatics

SKILLS

Network SecurityBiblioteca De Infraestructura De Tecnologías De InformaciónSwitchesAuditingNetworkingAuditoríasPhpNetwork DesignEthical HackerConmutadoresFirewallsAuditoría InformáticaMicrosoft ExcelMicrosoft OfficeCobitSeguridad De La InformaciónLinuxServidores De SeguridadSeguridadInformation SecurityHacking ÉticoRedes InformáticasLiderazgo De EquiposSeguridad De RedSeguridad InformáticaSecurityObjetivos De Control Para La Información Y Tecnologías Relacionadas (Cobit)Iso 27001Control InternoInternal AuditC++IT AuditInternal ControlsEnrutadoresWeb ApplicationsAuditorías InternasRoutersInfraestructura

ABOUT GERONIMO ACEVEDO

Technology professional with over 14 years of experience in cybersecurity, IT/OT auditing, and enterprise risk—now fully focused on innovation, digital transformation, and intelligent automation.My technical and analytical background provides a strong foundation to rethink processes, apply emerging technologies, and build scalable solutions that create real business impact.In recent years, I have led high-impact innovation projects including:Drone + AI methodology for industrial inventory: Designed a tube-counting system for industrial yards using drone technology, data analytics, and computer vision (YOLO), significantly improving speed and accuracy in physical inventory audits.AI solution for travel expense deviation detection: Developed a multi-layered system combining machine learning agents (Random Forest, Neural Networks), Microsoft Prebuilt AI models (receipt and invoice), and GPT-4o to extract and categorize multilingual expense data, enabling automated anomaly detection and enhanced control.I bring a hybrid profile: strategic thinking, hands-on technical skills, and deep process knowledge—shaped by years in audit and cybersecurity, now redirected toward driving smart, scalable transformation through AI and automation.I’m currently seeking opportunities where I can help optimize operations, accelerate innovation, and translate complexity into intelligent solutions.

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