Professional Overview
I have a background in data quality and content operations, with experience at London Stock Exchange Group and Amazon. I’ve worked with structured and unstructured text, ensuring accuracy at scale. I bring NLP and prompt engineering experience, and I’m fluent in French and English, enabling effective multilingual work.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Evaluated text/data outputs against predefined standards, similar to annotation
- Managed and enriched financial and reference data for global instruments
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Evaluated text outputs against defined quality standards, similar to annotation
- Collaborated with cross-functional teams to resolve data and content quality iss
- Worked with multilingual content , ensuring localization accuracy
- Managed high-volume catalog and content workflows, ensuring data accuracy
- Reviewed and validated structured/unstructured data, identifying errors and edge
Key Achievements / KPIs
- Achieved 98–99% data accuracy, consistently exceeding quality benchmarks
- Reduced catalog/content errors by 20–30% through proactive audits and correction
- Maintained >95% QA audit scores across review cycles
- Improved process efficiency by 15% by identifying recurring issues
Education
Field of Study: Economics
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
