Sandrine Chemla

Sandrine Chemla has extensive work experience in various fields, including data science, neuroscience, and research. Sandrine is currently working as a Product Owner Data at Tchek.ai since July 2022. Prior to that, they worked at DataScientest.com from September 2021 to May 2022, where they were involved in a music recommendation system project, exploring data, conducting modeling tests, and creating an interactive web application.

Sandrine also has research experience, working as a researcher in neuroscience and optical imaging at Aix-Marseille Université from March 2018 to February 2022. Before that, they worked as a Postdoctoral Research Associate at CNRS, where they focused on modeling and imaging neuronal networks in the primary visual cortex (V1) and studying the functional role of interactions and oscillations in V1.

Sandrine also worked as a Postdoctoral Research Associate at CCBN from April 2010 to December 2012, and completed their PhD thesis in neuroscience at INRIA/CNRS from October 2006 to February 2010. Their PhD research focused on the application of signal and image processing in computational neuroscience, specifically in the field of automatic analysis of neuronal activities.

Overall, Sandrine Chemla's work experience spans data science, neuroscience research, and academic research, demonstrating their expertise in these areas.

Sandrine Chemla has a diverse education history. In 2002, they attended Ecole générale d'Ingénieurs de Marseille, where they obtained a degree in MicroElectronique et Telecommunications. Following this, in 2005, they enrolled at Université Côte d'Azur and earned a Master 2 (M2) degree in Image et géométrie pour le multimédia et la modélisation du vivant.

In 2015, Sandrine pursued further education at Unité Mixte de Formation en Santé (Aix-Marseille Université), specializing in Recherche Clinique. Sandrine completed a degree called DESIU FARC-TEC.

Most recently, in 2021, Sandrine enrolled at DataScientest.com, where they obtained a Data Scientist certification. In 2022, they furthered their knowledge by completing a Product e-learning program at Join Lion.

Additionally, Sandrine holds multiple certifications from DataScientest.com in various subjects such as Convolutional Neural Networks, Dense Neural Networks, SQL for Data Science, Machine Learning, Network Analysis, Dimensionality Reduction, and Regression. Sandrine also has certifications in Time Series Analysis, Advanced Machine Learning with Scikit-learn, Clustering, and Data Visualization using tools such as Bokeh, Seaborn, and Matplotlib. Furthermore, they have completed courses in Exploratory Statistics for Data Analysis, Introduction to Python for Data Science, and Object Oriented Programming for Python Beginners.