Charles Siret

• Enhanced data infrastructure by expanding the existing Django framework to meet evolving client storage needs. • Scoped, designed and developed policy generation feature, including front-end interface (React), Excel data extraction (Python) and API integration (Django REST Framework). • Automated claim reimbursement computation by ingesting and implementing complex reimbursement rules, reducing average claim processing time by 60%. • Integrated GPT-4o via API to efficiently infer medical codes within the reimbursement pipeline. • Orchestrated scalable data ingestion pipeline (Dagster) to integrate client legacy data with backend services. • Trained and deployed YOLOV8 model for document pre-processing improving information extraction accuracy by 15%.

- Maintained dashboards and built monthly/quarterly reports for a major pharmaceutical client. - Presented reports and insights to senior management on client side. - Created a k-means segmentation model for an automotive client. - Automated internal reporting workflows, saving ~1 week/month in manual work.

- Adapted stock market models to analyze herding among VCs. - Applied dynamical systems theory to study coordinated investment patterns.

- Applied signal processing techniques to improve inference for a brain-machine interface.