Descripción

Industrial Engineer with 4+ years of experience improving business operations through Customer Data Operations, Process Automation, Data Quality, and Operational Analytics.

I help organizations transform manual, data-intensive processes into reliable, scalable, and data-driven workflows that improve operational efficiency and support better business decisions.

Experienced collaborating with international clients across technology, consulting, fintech, AI, hospitality, and professional services, designing data workflows, improving data reliability, automating operational processes, and supporting continuous process improvement through cross-functional collaboration.

Ámbito de especialización en el sector

Idiomas

Español
Bilingüe o nativo
Inglés
Competencia profesional básica

Preferencias de lugar de trabajo

Solo teletrabajo

Lleva a cabo sus proyectos principalmente en remoto

Upwork Inc
Data Operations & Process Specialist
AGENCIAS DE SUBCONTRATACIÓN
agosto de 2021 - Hoy (5 años)
Buenos Aires, Argentina
• Designed and optimized Customer Data Operations supporting sales, marketing, and business processes.
• Built automated workflows for data extraction, validation, transformation, and synchronization using Python, SQL, APIs, and ETL processes.
• Improved data quality through validation rules, normalization, QA procedures, and continuous monitoring.
• Developed structured databases and operational reporting solutions to improve data reliability and support business decision-making.
• Analyzed customer and operational datasets to identify process improvement opportunities and optimize workflows.
• Collaborated with international clients and cross-functional teams across technology, consulting, fintech, hospitality, and AI-driven projects.
Python SQL Integración de datos (ETL, ELT y almacenamiento de datos) Data analysis
La Latina Valley
Customer Data Operations Specialist
AGENCIAS DE SUBCONTRATACIÓN
agosto de 2021 - Hoy (5 años)
Madrid, España
• Managed customer and business data within Airtable, ensuring accuracy, consistency, and long-term data integrity.
• Automated data collection, validation, and synchronization workflows to reduce manual effort and improve operational efficiency.
• Implemented data quality controls, validation rules, and standardization processes across operational datasets.
• Maintained structured databases supporting commercial operations and business activities.
• Collaborated with stakeholders to identify operational challenges, optimize workflows, and improve processes.
• Supported data-driven decision-making by providing reliable and well-governed customer information.
• Documented operational processes and maintained standardized data management practices.
Airtable Análisis Exploratorio de Datos Data mining
Provision
Document QA Specialist (Contract)
AGENCIAS DE SUBCONTRATACIÓN
febrero de 2024 - febrero de 2026 (2 años)
Toronto, Canadá
Supported AI model development by ensuring the quality, accuracy, and consistency of structured and unstructured legal data used for document intelligence solutions.
• Audited AI training datasets to validate text extraction accuracy and document structure recognition.
• Performed quality assurance on digitized legal documents, identifying inconsistencies and improving data reliability.
• Validated complex document structures to support AI model training and software optimization.
• Applied data validation and quality control processes across annotated datasets.
• Collaborated with cross-functional teams to improve data quality for AI-driven products.
Data entry clerk

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Bachelor's Degree
Universidad Nacional Experimental Francisco de Miranda (UNEFM)
2009
Bachelor's Degree
Introduction to Smart Contracts
Introduction to Smart Contracts