Mission IA for NeoXam: creation of a website that extract information from financial PDF.

Stack: python (spaCy, streamlit, scrapy, beautifulsoup4), heroku

Consulting:

• Faurecia - Data Science - default detection in car seat production line.

- Neural Network implementation with tensorflow to detect wrinkles zones and intensities from pictures

- Setup of AWS CI/CD

- Development of a flask-socketio application to serve the models and communicate with the camera and the prod. line protocol

- Double optimization: temporal constraint <5s and performance in recall metric

- Clean code trainer for the team

- Deployment automating with Ansible

- Lead and training of the offshore team in India

• Ministère de l'intérieur - Development - Web application to facilitate the access to french government services for foreigners

- Front-end: AngularJS / Angular5

- Back-end: Python, Flask, MongoDB

- Agile methodology (Scrum), Git Flow, clean code (Test-Driven-Development)

R&D:

• Probability calibration
• Deploy deep learning model on raspberry Pi

• Prediction intervals in regression

• GNU Linux Mag committer (HS 100 & HS 106)

• Definition of interpretation tools for Random Forest and other black box algorithms

• Implementation of a prediction models for maintenance in industry process (Python)

Trainer at OCTO Academy:• Data Science basis training
• Data Science advanced training
• Admin Hadoop 2.X Hortonworks

Speaker:

• "Quantifying Uncertainty In Machine Learning Models", PyData New York, November 2019
• "Generating Adversarial Examples To Trick Neural Networks", DataJob Paris, November 2019

Statistical processing of data in order to target the ad on smartphone (Hadoop, SQL, R, java).

Degree: MSc Engineering

• 3rd year option, Big Data : Statistical classification, Optimization, Hadoop, NoSql, Data organization methods, Data mining
• Master program, Partial differential equations, Numerical scheme and simulation

• 2nd year option, Data Sciences : Statistical learning, Monte Carlo simulation, Time series, Regression analysis, Machine learning, Optimization, Kriging, Big Data

• 1st year common basis : Modeling, Probability and statistics, Computer science (C, Java, Matlab, MySQL, R), Physics, Macro/Microeconomics, Management

Association : Sports Association for students
Social project: help for reintegration into working life in jail

Degree: ERASMUS exchange semester

• Engineering statistics
• Time series analysis
• Logistik
• Spieltheorie