Nadia Alliche

Medical Engineer and Data Scientist, passionate about data analysis and specializing in medical imaging and image processing. Trained at Mines ParisTech / DataScientest, I am proficient in machine learning, deep learning, and data visualization. My background includes several applied experiences in hospitals (nuclear medicine, radiotherapy) as well as teaching experience. Passionate about technological innovation and modeling, I combine scientific rigor with a strong pedagogical approach.

Data Scientist - DataScientest - Paris

(2025-01)

• Developed a weather prediction project using data modeling (Python, TensorFlow)
• Gained data analysis and interpretation skills applicable to technical diagnostics

Mathematics & Physics Teacher - Toulouse

(2015-01 - 2021-12)

• Prepared students for final exams and simplified complex scientific concepts

Purpan Hospital - Nuclear Medicine Department - Toulouse

(2013-01)

• Compared between NaF and FDG tracers
• Developed PET/CT visualization software
• Evaluation, configuration and improvement of the software
• Compared between software results and pathology results

Frantz Fanon Hospital - Radiotherapy Department - Algeria

(2010-01)

• Installed, calibrated, and maintained LINAC systems (CLINAC)
• Study of the influence parameters on a semiconductor diode
• Ensured quality assurance and provided technical support to medical physicists

Certification - Data Science - Mines ParisTech / PSL (2024-01 - 2025-12)

Master's Degree (M2) - Medical Imaging - University Paul Sabatier III (2013-01 - 2013-12)

Master's Degree (M2) - Medical Physics (2010-01 - 2010-12)