CV

Curriculum Vitae

Basics

Name Théo Cornille
Title Data Scientist
Email theocornille@gmail.com
Phone +33 6 95 51 09 33
Url https://linkedin.com/in/theocornille/
Live in Paris, France
Github https://github.com/tcornille/

Education

  • 2018 - 2019

    Saclay, France

    Master in Artificial Intelligence - M2 AIC
    Paris-Saclay University (X, TELECOM, CENTRALESUPELEC, ENSTA)
    Artificial Intelligence
    • Deep Learning, Natural Language Processing, Computer Vision, Image & Signal Processing, Probabilistic Graphical Models, Reinforcement Learning
  • 2015 - 2018

    Bordeaux, France

    Engineering degree – Programme Grande Ecole
    ENSAM - Arts & Métiers School
    Engineering
    • Mathematics, Physics, Computer Science, Engineering Science, Industrial Management
    • Majored in: Information Systems, Machine Learning and Programming

Work

  • 2023.01 - Today
    Experienced Data Scientist
    DGDDI (French Customs)
    Deploying machine learning models and web apps for fraud and financial anomaly detection.
    • Understanding and adapting ideas from research papers.
    • Developed and deployed continuously data web apps (Git CI/CD and version controlling) working with agile methodology.
    • Did full stack development: from data preparation (Spark), database architecture (SQL, MongoDB), AI model (Python), back-end (Flask API) and front-end (Angular, html, css)
  • 2019.04 - 2022.12
    Data Scientist / Tech Lead
    DATA&DATA
    Developing AI products for online distribution tracking and grey market monitoring in the luxury industry
    • Winner of the LVMH Innovation Award 2021 in the category “Data & AI”
    • Developed conjointly with the CEO the company from scratch: from 0 to 20 clients in the luxury sector (LVMH, Richemont, AP, Hermès) with a 100% client retention rate for 3 years.
    • Worked on multiple BI products (grey market, price monitoring, store locator) incorporating NLP and computer vision used mainly to identify luxury products such as watches, cosmetics, leathergoods.
    • Conducted dashboards demos, technical support and reporting to the client
    • Built a pre-owned watch quotation app for Audemars Piguet
    • Created an in-house web scraper able to collect any kind of data on more than 1000 websites
    • Follow-up and training of a small team of data scientist interns
  • 2018.02 - 2018.07
    IT Business Analyst Intern
    Fortia Financial Solutions
    • Defined new features of “Innova” software (AI automated tool for compliance in Investment Banking)
    • Involved in demos & workshops to sell the solution and demonstrate use cases with client's data (BNP, SG)

Languages

French
Native speaker
English
Fluent
German
Conversational

Skills

Python (Poetry, Pandas, Dask, Polars, Numpy, Scikit-learn, Pytorch, Keras, Networkx, Hugging Face, NLTK, OpenCV, Transformers, RAG, LLM), SQL/NoSQL, Linux, Cloud (Azure, AWS), Jobs Scheduling (Cron, Airflow), BI Tools (PowerBI, Streamlit), Webscraping (Selenium, Proxy), Spark, Container (Docker, Kubernetes understanding), Javascript, Typescript, Bash, Jira, Notion

Interests

Sports
Surf
Golf
Football
Running
Chess
Mobile app development for group events
React native
Expo
Firebase
Figma
Flutterflow

Projects

  • 2023 - Present
    Tradee
    Developing a cryptocurrency trading tool using Deep Q-Learning and Binance API (model training, backtesting & trading)
    • Reinforcement Learning
    • Cryptocurrency
    • Trading

Certificates

LLMs
IBM (Coursera) Currently studying
Angular
Orsys 2023