Summary
Angelo Candari is a Data Science Manager with 9 years of experience applying ML, LLMs, and data engineering to drive measurable operational improvements in aviation and hospitality. At Etihad he leads a team focused on network operations and efficiency, delivering high-impact projects that cut costs and improve margins through Python, PySpark, SQL and Azure Databricks. His background includes building production recommendation engines and end-to-end ETL/BigQuery pipelines, and a track record of turning messy, multi-source data into clear, actionable insights for stakeholders. Known for simplifying complex technical solutions into practical business recommendations, he consistently translates analytics into 10x-value outcomes. Based in Abu Dhabi, he blends hands-on engineering with team enablement, accelerating capability through LLM and ML systems to amplify his team’s productivity.
10 years of coding experience
15 years of employment as a software developer
Nanodegree Data Analyst, Nanodegree Data Analyst at Udacity
Bachelor’s Degree Communications Technology Management, Bachelor’s Degree Communications Technology Management at Ateneo de Manila University
English