Über Diane
- Statistical analysis: descriptive, inferential, probability distributions, regression and classification models, non-parametric tests, feature selection (PCA, clustering, correlation...), mixed-effect models, time-series analysis, imputation.
- Machine Learning: Random Forest, XGBoost, SVM, KNN
- Deep Learning: Neural network (MLP), GANs, autoencoders.
- Scientific communication: writing clear, evidence-based reports with data visualisation tools, collaborating with clinicians, biologists and other statisticians.
- Soft skills: organised, curious, proactive, autonomy.
Französisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Projekt- und Berufserfahrung
- OvercomeAssistante RHMEDIZINSeptember 2025 - Heute (9 Monate)Paris, Frankreich- Support daily HR operations including onboarding, HR documentation, communications with external contractors, and employees administration.- Coordinate staffing and logistics for medical congress and events.
- EPFLAssistant IT for the ServiceDeskFebruar 2022 - Juli 2022 (5 Monate)Lausanne, Schweiz
- Provided first-line IT support to a 15,000-member community at EPFL, generating over 500 requests a day to resolve.
- Effective communication with customers to understand problems and adequate troubleshooting of issues.
- Sharana (NGO)Humanitarian volunteeringMärz 2023 - August 2023 (5 Monate)
- Assisted the organisation of the annual summer camp for 150 vulnerable children, created awareness through sports games in 50 locations in Tamil Nadu, and conducted English and Digital Classes.
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Ausbildung und Abschlüsse
- MscImperial College London2024Msc
- BscSwiss Federal Institute of Technology of Lausanne (EPFL)2022Bsc