aurelmr

Co-created the Data Science division. Developed a dynamic pricing engine for short term rentals in Paris to increase the company's revenues. Designed and implemented the entire pipeline of the project from data collection to the API endpoints using kedro, Flask and Google Cloud Platform suite (Cloud SQL, compute engine, Cloud Run, etc.). Implemented several Deep Learning algorithms (CNNs) to demonstrate their potential usefulness for various company divisions.

Developed NLP tools for financial transactions classification using both unsupervised and supervised learning methodologies (Word2Vec, FastText, KMeans, BERT). Developed a text pre-processing algorithm using a CNN. Implemented a web app in python for labeling purposes and model prediction review.

Developed a recommendation tool for a company in the medical sector, demonstrating a capacity for applying quantitative science in diverse fields. Assisted in writing commercial proposals, including conducting market studies and company analysis.