- Worked on with LSEG's transaction cost analysis and software engineering teams
- Analyzed client's confidential trade data to locate outliers using Python, offering insight into improving trading
- Identified dark pool orders and created an automated internal benchmarking script to track trade data based on
- Automated delivery of transaction cost analysis reports covering multiple asset classes with Python, PostgresQL, and Linux
- Validated data ingress by creating a script to monitor outliers in data entering databases using Python
- Helped redesign database schema to house data in a more efficient way using SQL
- Explained progress at daily, weekly, and monthly intervals under an agile development schedule