Aldo Turégano Montes

• Trained & evaluated supervised and unsupervised models (Scikit-learn) for forecasting, clustering & probabilistic modeling of Distribution Centers.
• Fine-tuned LLMs on AWS Bedrock to build internal tools such as FAQ chatbots, plus Slack bots for Supply Chain KPI monitoring & alerts.
• Primary technical contact between engineering & Supply Chain stakeholders; drove InfoSec governance and remediated 20+ security risks across production AWS environments.

• Maintained high-availability Java backend services, including internal credential management, with rigorous CI/CD testing pipelines.
• Built cloud-native ETL pipelines, financial dashboards & infrastructure automation on AWS with SQL, Python & Terraform.
• Trained PyTorch models to forecast royalty payments & issue resolutions for partner contracts.

• Developed ETLs to ingest, transform & load POS data from newly acquired customers, especially e-commerce.
• Trained unsupervised clustering models to categorize low-quality data.
• Redesigned the main ETL process for Share-of-Shelf & Share-of-Display metrics and rolled it out across Latin America.

• Built Power BI dashboards for Business Development, Logistics & C-level leadership.
• Analyzed Point-of-Sale data to detect fraudulent transactions & anomalies from each customer.
• Trained PyTorch image-recognition models to detect anomalies & misspellings in photos taken inside customers’ stores & clubs.

Coworking Network Design

Supervised & unsupervised models over public demographic & financial data to analyze and design a coworking network.

European Contest Score Prediction

Supervised model that accurately predicts scores in European contests, built during the M.Sc. in Artificial Intelligence.