Ludgero Diogo

Designed and deployed end-to-end ML solutions across sales forecasting, workforce planning, and financial risk, improving prediction accuracy and reducing manual workload. Built scalable data pipelines in Azure and Databricks; implemented CI/CD workflows for deployment, monitoring, and retraining of ML models. Collaborated with finance, HR, and operations teams to align business needs with ML and automation solutions. Key achievements include Invoice Information Extraction (LLM) delivering 85% touchless automation from 10k+ multilingual invoices; Inventory Risk Prediction (AUC 0.97); Sales Forecasting (4% error); Workforce Planning (2% error); and SOX Compliance Automation via Power Apps & Power Automate.

Lead data analysis projects optimizing resource planning, budgeting, workforce distribution, financial planning, risk management, and strategic decision-making. Developed and deployed machine learning models for employee movements, sales forecasting, and various business intelligence applications. Collaborated with cross-functional teams to gather and interpret requirements for data-driven solutions. Conducted exploratory data analysis and created and maintained data pipelines for automation. Cleaned and preprocessed raw data ensuring data quality and accuracy for analysis.