Operational Data Analytics
Analysis of 62M+ operational trajectory records using Python, SQL, and data engineering pipelines.
Built and maintained data pipelines processing 62M+ operational trajectory records and 27,000+ aircraft movement records for Changi Airport. The work involved data ingestion, quality validation, feature engineering, and reporting datasets used by both researchers and operational stakeholders.
What this demonstrates:
- Large-scale data processing with Python and SQL
- Data quality and validation workflows
- Reporting datasets and dashboards
- Feature engineering for predictive models
- Stakeholder-facing analytics and briefs