I’m an early-career Software Engineer and Data Analyst with a strong foundation in Python, full-stack development, and applied analytics, backed by 20 years of experience operating and improving high-reliability technical systems.

I specialize in building data-driven applications, designing REST APIs, analyzing and validating large datasets, and translating complex system behavior into actionable insights.

• Languages: Python, JavaScript, SQL
• Backend: Django, Django REST Framework, REST APIs
• Frontend: React
• Databases: PostgreSQL
• Data & Analytics: Pandas, NumPy, Machine Learning (regression, neural networks)
• Tools: Git/GitHub, Linux/WSL

A full-stack web application that enables stock backtesting and performance analysis using historical market data.

Highlights:

• Django REST API backend with token-based authentication
• React frontend with interactive data visualizations
• Third-party financial API integration
• Backtesting workflows and performance metrics

A machine learning research project modeling operational readiness using real-world maintenance data.

Highlights:

• Regression and neural network models
• Feature engineering and normalization
• Cross-validation and model evaluation (MAE, RMSE)
• Data-driven insights for planning and scheduling

• LinkedIn: https://www.linkedin.com/in/christophersorley
• Portfolio: https://renandwight.github.io