Machine Learning Specialist

TL; DR:

Experience: 8 years · Data scientist, with a strong interest in DevOps · Python · NLP · MLOps · Data privacy · Ethical AI · Open-source

Built an automated classification pipeline for HR documents, all formats, from scratch.

Improved HR users day-to-day workflow, and reduced error rates.
Created a POC model working on both on text and scanned documents.
Wrote the production code, improved execution performances and codebase maintainability.
Designed the prediction API for integrating with other internal applications.
Worked with the UI/UX team to improve results interpretability for end users.
Set up feedback mechanisms to monitor ML model performance in production.
Created a POC to anonymise text data.

Built up and led a team of 5 persons.

Set up the Machine Learning team at PeopleDoc.

Promoted a Machine Learning culture inside the company, through demos, talks and workshops.
Supervised the development of ML-compatible processes and tools.
Initiated a ML mindset in different departments (hardware requirements, data access, ...).
Promoted best practices around data privacy.
Collaborated with other Data Science teams across the UKG group after the acquisition.

Developed MLV-tools, an open-source MLOps toolkit for easy Machine Learning pipeline versioning.

Developed data-driven algorithms for connected cars.

Implemented the data pipeline from scratch, with a focus on code quality and reproducibility of results.

Designed the corporate data strategy to improve data gathering in the long term.

Developed a personalised coaching algorithm to improve driver safety and promote eco-driving.

Research and development on a rule inference engine (quality analysis on manufacturing processes).

Refactored legacy code, updated documentation and tests, improved rule intelligibility.

Improved predictive power of the rule engine using boosting techniques.

Added a prescriptive module for correcting poor quality outcomes.

6-month internship: Inference of gene regulatory networks from DNA chips data

Implemented in Python optimisation algorithms for Deep Neural Networks.

Education & languages