Maria Diaz

Applied Artificial Intelligence & IoT

🔹 Data Science & AI Engineering - Cordis Corporation

Supported AI integration and data-driven process optimization for different business challenges.

  • Inventory Forecasting Model for Supply Chain Optimization Developed a machine learning model to forecast product demand and optimize inventory capacity planning to improve stocking accuracy and reduce overages.

GitHub

  • Web Application for Financial Reconciliation Automation Built a lightweight web-based tool that streamlined the reconciliation of planned vs. actual expenses, eliminating the need for manual spreadsheet manipulation

GitHub

🔹 Digital Technology Consultant (AI/ML & Security) - NTT DATA Europe & Latam

Participated in the development of an enterprise AI governance and operationalization framework, aligning with industry standards such as the NIST AI Risk Management Framework.

Performed a technical and strategic evaluation of Azure’s AI Foundry stack to assess its alignment with the framework and uncover key capabilities and gaps in supporting enterprise AI readiness and compliance

🔹 AI Solutions Developer Intern - TRC

During this experience I participated in a project on the design of a Telegram Bot for the detection of leaked credentials in the messaging application.

Conducted the research and development of a new tool based on a machine learning model that automates a triage system by predicting the risk of the alerts generated.

Gained hands-on experience in cyber threat intelligence, utilizing Recorded Future and OSINT methodologies to identify security threats and data leaks.

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