Nolwenn A.

• Supervision of a data operator and coordination of upstream operations

• Data cleaning, structuring, and continuous monitoring of the database

• Ensuring data quality and integrity in production

• Writing and structuring all operational processes on an internal Google Site

• Creation of dashboards, metrics, and performance monitoring statistics

• Prompt engineering (writing, testing, and optimizing prompts for AI)

• Active participation in testing and QA (verification, bug reporting, validation)

• Extensive knowledge of products (home appliances, high-tech, DIY, etc.)

• Close collaboration with the tech team in a Django / Python environment

• Advanced use of JIRA, Langfuse, Helicone, Amplitude, Smartlook, Make

• Precision, attention to detail, and great rigor in a rapidly evolving environment

Participation in the development of a multi-omics clinical data integration and analysis pipeline within an international and multidisciplinary team (Github collaborative environment, use of Python and R for implementation)

• Comparison between classical statistical methods and Deep Learning methods to identify biological patterns related to the treated disease

• Collection, processing, and analysis of public data

• Exploration and implementation of neural networks and other Deep Learning tools (data denoising tasks, dimensionality reduction)

• Development of performance evaluation metrics for methods

• Advice and sales - high-end products - professional and private clients

• Versatility of tasks (Sommelier, Cuisine, Management, Purchasing)

• Recruitment & training of the team for various roles

• Organization and management of private events (Prada, BNP Paribas, Chanel, law firms…)

• Responsible for social media communication