United Kingdom
- Engineered and refined the core instructions for an OpenAI custom GPT, defining its expert persona and implementing a structured response format to ensure consistent, high-quality user interactions. - Curated and structured the model's knowledge base from diverse source materials and conducted systematic testing to identify and address conversational limitations, directly contributing to the tool's quality.
- Developed strong data engineering skills by working with SQL for data analysis/cleansing, Python scripting, Git/Git Bash for version control, YAML for unit testing, and dbt for building/testing data models. - Gained exposure to modern data architecture and tooling, including Snowflake data warehouses, medallion architecture, and approaches to data modelling (Inmon vs. Kimball). - Built professional and collaborative skills through agile team participation, test-driven development, presenting a research project, and shadowing engineers to learn real-world coding, debugging, and problem-solving practices.
- Completed a team project to analyse the relative merits of two businesses, practising teamwork, communication and presentation skills, as well as honing data analysis skills by analysing quantitative company credit and financial data. - Participated in desk rotations in Sales & Trading and Operations, learning industry insights about working on a trading floor, plus interpreting and using market data.