Developed Python virtual environment support for the QuantConnect/Lean repository’s report generation workflow, focusing on improving reliability and reproducibility across diverse environments. The work introduced a command-line interface option allowing users to specify a Python venv path, with logic to activate and initialize Python within the selected environment. This approach ensured that dependent scripts accessed the correct dependencies, reducing environment-related failures and supporting consistent analytics pipelines in production. The implementation leveraged configuration management, environment setup, and Python integration skills, utilizing both Python and C# to align with Lean’s feature goals for robust and reproducible report generation processes in production settings.