Machine Learning Engineer

• Oct 2023 - Present

Senior Data Scientist

• Apr 2022 - Present

• Creating an invoice OCR model on Tensorflow (Accuracy: 80%) • Deploying TensorFlow models on GCP • Creating an invoice OCR model on Tensorflow (Accuracy: 80%) • Deploying TensorFlow models on GCP

Applied Scientist

• May 2022 - Oct 2023

• Creating and deploying a video recommendation model for Facebook based on trends • Dashboarding creation and API implementation for model inference (with Streamlit and FastAPI) • Working on a topic extraction on Youtube videos • Creating data quality analysis function for Time Series • Creating preprocessing function for Time Series • Creating and deploying a video recommendation model for Facebook based on trends • Dashboarding creation and API implementation for model inference (with Streamlit and FastAPI) • Working on a topic extraction on Youtube videos • Creating data quality analysis function for Time Series • Creating preprocessing function for Time Series

Machine Learning Engineer

• Aug 2020 - May 2022

• Creating and deploying an anomaly detection model in log sequence streams (on TensorFlow) • Working on a scalable method for log parsing • Working on a Python bot for log parsing • Creating preprocessing function for Time Series and Log files • Creating and deploying an anomaly detection model in log sequence streams (on TensorFlow) • Working on a scalable method for log parsing • Working on a Python bot for log parsing • Creating preprocessing function for Time Series and Log files

CIFRE PHD

• Mar 2017 - Feb 2020

• Using text to predict the severity of a claim. Predicted cost 40% better than traditional figures (on Tensorflow, Pyspark)• Programming on GPU (on AWS and local)• Combining Deep Learning models (LSTM and CNN) on a temporaldataset containing structured and unstructured data• Creating a Graphic tool to interpret Grid Search and Model results (on Plotly)

P&C Actuarial Science

• Sep 2016 - Feb 2017

• Extreme Value Theory.• Impact of bodily injury claims.

P&C Actuarial Science (Internship)

• Mar 2016 - Aug 2016

• Studying the geographical component on a bodily claim on Life Accident Guarantee • Challenging GLM, Random Forest and Gradient Boosting for modeling Average Cost. Improvement of the loss by two (on Scikit-Learn) •Modeling Frequency model by using a Poisson distribution • Studying the geographical component on a bodily claim on Life Accident Guarantee • Challenging GLM, Random Forest and Gradient Boosting for modeling Average Cost. Improvement of the loss by two (on Scikit-Learn) •Modeling Frequency model by using a Poisson distribution