About Me

Hi I am Clément Delteil :wave:,

I recently finished my end-of-study internship at namR as a Data Scientist where I engineered a methodology to filter noisy labels from training sets, resulting in the improvement of data quality and model performance 📈. I’ve also developed a meta-model (LightGBM + KNN) to predict the use type of France’s 34 million buildings 🏙️ from extremely unbalanced spatial data.

I’m now looking for a full time position in Paris as a Data Scientist / Machine Learning Engineer.

I hold a Canadian :canada: M.Sc in Artificial Intelligence from the UQAC as well as a French :fr: Computer Science Engineering Degree with a focus on Data Science and Artificial Intelligence from the UTBM.

You can find my CV in French and in English in the Resume section of this website.

More personally, this site is both a portfolio and a personal site where I can share my pictures, my readings or articles on some AI and Data Science topics I like. Traveling is an integral part of my personal life and my school curriculum, I spent 1 year in Slovenia with an internship and an exchange semester and now 1 year in Canada. Outside of that I had the chance to travel to many countries: :fr: :slovenia: :canada: :it: :morocco: :hungary: :vietnam: :us: :reunion: :peru: :cambodia: :croatia: :gb: :es: :de: :czech_republic: :switzerland: :kr: :cuba:

To conclude on my person, I live by the latin adage : “Mens sana in corpore sano “. I run 🏃🏻, read 📔, lift weights 🏋🏻 and sometimes yes, I sit in front of my computer 👨🏻‍💻. These activities help me keep clear ideas for my projects and my life ! Feel free to browse through the site, I have shared photos and projects from my journey.

Programming

Python

80%

Advanced

SQL

75%

Advanced

Java

50%

Intermediate

C++

50%

Intermediate

C

30%

Basics

Data Science

Data Processing

95%

Pandas, Numpy, PySpark, NLTK

Dataviz

95%

Tableau, PowerBI, Matplotlib

Machine Learning

95%

scikit-learn, MLlib, Spark Streaming, XGBoost

Cloud

95%

Databricks, Google Cloud

Deployment

95%

Docker, Apache Kafka

Soft Skills

Teamwork

80%

Rigor

80%

Dependability

100%

Work ethic

100%

Persuasive

80%

Working experience

👨‍💻 Data Scientist

namR  • Paris, France :fr:
July 2023 — January 2024

End of study internship - Addressing climate issues with Data Science - Recommandation Letter 📜
As part of a team of 7 people, developed Machine Learning models, and worked on R&D topics about noise detection in ML labels on subjects related to the green renovation of buildings and the ecological transition.

  • Developed a method to filter noisy labels from training datasets via Confident Learning, thus improving data quality and model performance.
  • Developed a Meta-Model (LightGBM + KNN) to predict the type of France's 34 million buildings (Residential, Tertiary, Industrial, Agricultural).
  • Worked in Agile mode and regularly presented results to other Data Scientists and Data Engineers.
  • Improved the internal repository by modifying the Gitlab CI through the addition of various linters and typing.
  • Optimized SQL queries on PostgreSQL to process millions of spatial data.
  • Regular company-wide presentations on technical subjects (Confident Learning, LLM, etc.).

Data ScienceDataikuPostgreSQLMachine LearningData AnalysisR&DCommunicationLarge Language Models

📝 Technical Writer

Medium  • Home :fr:
January 2023 — Present

Freelance - Writing technical articles on the Medium platform.

  • Interested more than 35,000 readers by writing 18 articles on various Data Science topics, guided by my curiosity.
  • Keynote Speaker at the Google Student Developer Club ML Summit; inspired over 80 participants by sharing my personal journey in Data Science and AI, motivating their active engagement and public contributions.
  • Demonstrated to students the need for Quantization of models with limited resources (i.e. standard GPUs) and a fine-tuning experiment for text and article summary generation.

Data ScienceCommunicationLarge Language ModelsDeep LearningNatural Language Processing

👨🏻‍🏫 Teaching Assistant

UQAC  • Chicoutimi, Canada :canada:
February 2023 — April 2023

Part-time work - Correction of Bachelor's degree students' work - Recommandation Letter 📜

  • Algorithmic - Complexity analysis, recurrence, Djisktra, Divide and Conquer strategies, etc.
  • Machine Learning for Data Science - Verification that the correct development steps of a machine learning project are followed.

PythonScikit-LearnTensorFlowJupyter NotebookPrecisionRigor

🚀 Research Assistant

HICUP Laboratory  • Koper, Slovenia :slovenia:
September 2021 — February 2022

Six-month internship as an assistant engineer - Recommandation Letter 📜
Assisted researchers and PhD students in their Human-Computer Interaction projects.

  • Preprocessing - Used Optical Character Recognition (OCR) and Natural Language Processing (NLP) to preprocess thousands of text files for machine learning algorithms.
  • Data Collection - Built a 3000 movie/script dataset by scraping online from different sources for Elham Motamedi's research project on the Detection of Hedonic and Eudaimonic Movies Characteristics from Scripts.
  • Data Scraping - Developed a GUI/Cron tool to automatize the collection of tweets from Twitter under Marko Tkalčič supervision.
  • Plagiarism Detection - Developed a Python tool that detects plagiarism between several files and presents its results in a table. It shows side-by-side comparisons of texts where similar sentences between documents are highlighted.
  • Conference - Attended HCI SI 2021 conference (Psychophysiology, User Gullibility, Behavioral Authentification, Music Retrieval and Recommendation...)

PythonResearchOCRNLPSeleniumTkinterScikit-LearnBERT

📚 Library Monitor

UTBM  • Belfort, France :fr:
October 2020 — June 2021

Part-time work during my studies.

  • Tidied books.
  • Helped students and professionals with documentary research.
  • Ensured compliance with library regulations.
  • Redesigned of bookshelf signage.

PunctualityOrganisational CapacityAttentivenessCreativity

🥼 Laboratory Technician

SWISS KRONO SAS  • Sully-sur-Loire, France :fr:
January 2019 — February 2019

One-month worker internship as part of my engineering training.

  • In charge of the comparison of Volatile Organic Compound analysis methods on particle board between the percolator and the Gas Analysis. The purpose of this comparison was to enter a new standard.

PunctualityRigorPrecision

Education

🎓 M.Sc in Computer Science

UQAC  • Chicoutimi, Canada :canada:
September 2022 — February 2024

Dual degree in the context of an agreement established with the UTBM.
Specialization in Artificial Intelligence
Current CGPA 4,22/4,30.

  • Machine Learning for Big Data (A+)
  • Artificial Intelligence (A+)
  • Business Intelligence Principles and Methods (A+)
  • Advanced Data Structures and Algorithms (A+)
  • Computer Vision and Image Processing (A+)
  • Deep Learning (A)
  • Practical Workshop in Artificial Intelligence (A+)

PythonC++JavaPyTorchTensorFlowTableauPowerBI

🎓 Computer Science Engineer

UTBM  • Belfort, France :fr:
September 2018 — February 2024

Specialization in AI and Data Science
Last semester's GPA in Data Science 98/100 (Maximum grade is A).

  • Data Science (A)
  • Business Intelligence Big Data (A)
  • Database optimization (A)
  • Business English (A)
  • Human Computer Interaction (B)
  • Optimization and Operational Research (B)
  • Parallel Computing and Multicore Architecture (B)

PythonCSQLPowerBISQL ServerMySQL

🌅 Semester Abroad

FAMNIT  • Koper, Slovenia :slovenia:
February 2020 — July 2020

Study term abroad (6 months), mathematics and computer science courses in English.

AlgebraCalculusEnglishHTMLCSS

👨🏼‍🎓 Highschool Student

Bernard Palissy  • Gien, France :fr:
September 2015 — June 2018

French High School National Exam obtained with the European Mention certifying a significant investment in my subjects in English (mathematics in English as well as an extra hour of English in euro group)

English

Certifications

More certifications and Badges are available on my LinkedIn page.