
Christelle Levy
Senior Data Scientist | AWS & ETL
Salary / Daily rate
Lyon, France
Freelance, open to permanent contract
Skills
Languages
About me
Intro
Data Scientist with PhD expertise spanning machine learning and cloud infrastructure. Successfully optimized sports performance analytics using AWS services and developed speech recognition models for educational applications. Combining strong scientific research background with practical implementation skills in PostgreSQL, Terraform, and Python to deliver data-driven solutions that transform complex challenges into actionable insights.
Work experience
Data Scientist
Freelance (Self employed)Freelance
Aug 2024 - Present
2 years 3 months
Remote, OR 97458, USA
LeadYou Project Optimization of sports performance, health, and engagement for professional and amateur athletes. - Back-end: Designed the architecture and data flows (ETL) between client APIs, Google API, AWS, and a PostgreSQL database using the Kestra orchestrator. - Amazon Web Services: Utilized various services such as EC2, RDS, DynamoDB, S3, Secret Manager, IAM, and more. - REST API: Developed CRUD APIs and AWS Lambda functions, orchestrated via Terraform for automated infrastructure management. - Data Visualization: Created dashboards and charts on Superset. Aggregated data into materialized views using PostgreSQL.
Data Scientist
Entropeak
Feb 2024 - Aug 2024
7 months
Lyon, France
Agir Pour l'École Project Speech recognition project designed to facilitate reading learning for children. - Machine Learning/Deep Learning: Trained a deep learning model for speech recognition using NVIDIA NeMo's STT+Conformer, adapted for detecting reading errors. Conducted in-depth result analysis and visualization to refine model performance. - Back-end: Optimized and maintained data pipelines in Python and Pandas, using Airflow as a bridge between DynamoDB and PostgreSQL. - REST API: Developed APIs and AWS Lambda functions, orchestrated via Terraform for automated infrastructure management. - Data Visualization: Maintained dashboards and charts on Superset. - Networking: Set up a lightweight server via Tailscale, enabling secure SSH connections to a WSL terminal on a Windows PC.
Physics Research Scientist
Sorbonne Université
Oct 2018 - Mar 2022
3 years 6 months
Paris, France
Research Project Testing New Physics Theories for Astrophysics Research - Data Processing: Harmonized and cleaned data from different experiments (H.E.S.S., MAGIC, VERITAS) to ensure a consistent and unified analysis. - Data Analysis: Developed and standardized an analysis software in C++ and Python, including simulations, calibration, optimization, and visualization. - Modeling: Simulated astrophysical object characteristics and predicted their temporal evolution. - Teamwork: Member of an international collaboration and an inter-experiment consortium. Operated telescopes and performed data verification on-site at H.E.S.S. in Namibia. - Dissemination: Authored scientific articles, delivered presentations at conferences and seminars, and taught in higher education. - Open-Source Transition: Rewrote software for optimization and migration to an open-source format, including documentation and tutorials.
Research Intern
Seoul National University
Jul 2017 - Aug 2017
2 months
Seoul, South Korea
I got familiar with the process of data reduction to produce images from raw interferometric data. I studied the jet kinematics of Seyfert 1 3C111 from KVN (Korean VLBI Network) data, and created a short movie from 15 reconstructed images showing its evolution over time.
Research Intern
Commissariat a l'Energie Atomique et aux Energies Alternatives
Jun 2016 - Jul 2016
2 months
91400 Saclay, France
I worked on the GBAR experiment that aimed to measure the Earth attraction on an antihydrogen atom. I helped with the calibration of a positron beam (flux and energy dispersion) after the replacement of a key component.
Education
Sorbonne Université
Ph.D.
2018 - 2022
4 years 1 month
Université Paris-Saclay
Master of Science - MS
2017 - 2018
1 year 1 month
Université Paris-Saclay
Magistère
2015 - 2018
3 years 1 month
National University of Singapore
Master of Science - MS
2016 - 2017
1 year 1 month
Université Bordeaux Montaigne (ex - Bordeaux 3)
Bachelor's degree
2012 - 2013
8 months
Licenses & certifications
Unsupervised Learning, Recommenders, Reinforcement Learning
Issued: Oct 2023
Supervised Machine Learning: Regression and Classification
Issued: Sep 2023
Advanced Learning Algorithms
Issued: Sep 2023