Backend / Data Engineer with experience in building data-driven systems, analytics pipelines, and optimization models for real-world industrial problems.
- Languages: Python, SQL (if applicable)
- Backend: FastAPI, SQLAlchemy, REST APIs
- Data: Pandas, NumPy, Data Analysis, Machine Learning
- Tools: PI System, Aspen Plus, Optimization Algorithms
π https://github.com/edwardKGN/process-downtime-root-cause-analysis
Machine learning project to identify drivers of production downtime using synthetic industrial data.
- Random Forest & XGBoost modeling
- SHAP-based interpretability
- Identified data gaps and proposed next-step data strategy
π https://github.com/edwardKGN/energy-optimization-simulated-annealing
Optimization system to minimize peak energy consumption under production constraints.
- Metaheuristic optimization (Simulated Annealing)
- Achieved ~60% reduction in peak energy demand
- Modeled real-world scheduling trade-offs
π https://github.com/edwardKGN/cash-flow-tracker-webapp
Full-stack web application for tracking and visualizing financial data.
- FastAPI backend with authentication
- SQLAlchemy database integration
- React frontend with real-time data updates
- Building backend systems for data-driven applications
- Applying analytics and optimization to real-world problems
- Bridging engineering systems with software solutions
- LinkedIn: https://linkedin.com/in/edward-ng-kian-guan
- Email: edward.96@live.com