Christelle Levy

Senior Data Scientist | AWS & ETL

Salary / Daily rate

Lyon, France

Freelance, open to permanent contract

Skills

RESTful APIsMachine LearningAWSData AnalysisSAP Cloud

Languages

EnglishFrench

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.

Links

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

Certified by Coursera

Supervised Machine Learning: Regression and Classification

Issued: Sep 2023

Certified by Coursera

Advanced Learning Algorithms

Issued: Sep 2023

Certified by Coursera

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