Teams at Castleton Commodities International

Summer internship contributing to front-office trading analytics: build Python microservices and APIs, develop real-time trading tools and visualizations (Streamlit), work with cloud-native AWS services, Kubernetes, Kafka and Snowflake, support CI/CD and DevOps, and help integrate ML-driven analytics into trading workflows.

Summer internship on the Global Data Science team to develop and optimize time-series forecasting models (ARIMA/SARIMA, XGBoost, LSTM). Support end-to-end data ingestion, back-test datasets, collaborate with traders and analysts, and conduct ad hoc research on energy fundamentals and analytics trends.

Support building and optimizing data ingestion, ETL, and transformation pipelines using Python and SQL. Work with Snowflake and cloud platforms to store and validate structured and semi-structured data, automate workflows (Airflow), conduct data quality checks, and document pipeline architecture for use by trading and analytics teams.