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Back-end
Agile
ETL Datawarehouse
Elicited and documented functional requirements from internal and external stakeholders, integrating SaaS solutions into client workflows. Execute QA testing protocols to assess AI model output accuracy and ensure compliance with the standards (GDPR, HIPAA). Collaborated with development teams to optimize AI data pipelines and support deployment of ML models into production environments.
Coordinated the development, validation and implementation of data systems, ensuring compliance with regulatory standards. Validated analysis databases, ensuring accuracy and compliance with SOPs.
Analyzed and reported clinical data trends to stakeholders, supporting informed decision-making. Defined and maintained eCRF guidelines, ensuring data quality and regulatory compliance (GDPR).
Created and coordinated research section of the study. Contributed to the advancement of a research project by translating and transcribed tech driven communication materials.
Neural Networks, Machine Learning, Large Language Models (LLMs), NLP (BERT, embeddings), Prompt Engineering, Text Mining, Data Science. (All coursework completed, with only the Master’s thesis remaining.)
Bachelor of Science in Psychology with a focus on Data Science.
