Eléonor's Resume

Eléonor

Data Scientist Intern

Female

23 y/o

Live in France

Nationality France

Summary

I’m very interested in the “Mandarin at Work” program at Shanghai Maritime University. As a recent graduate in Artificial Intelligence with a focus on machine learning, I’ve started learning Mandarin on my own — but what I truly seek is full immersion, both personally and professionally, in China. This program seems like a great opportunity to gain real-world experience in my field while improving my language skills. I’m also highly motivated by the potential to grow within a company and transition into a full-time role after the internship. Looking forward to learning more about the application process and available opportunities. Best regards, Eléonor

Work experience

Data Scientist Intern
Mandala AI
2024.05-2024.11
(6 months)
- Fine-tuned CamemBERT for sentiment classification of 3,400+ French social media comments (positive/neutral/negative) - Boosted model accuracy from 65% to 88% via hyperparameter optimization and data rebalancing (oversampling) - Integrated ensemble models (FlauBERT, XLM-Roberta) to improve generalization and reduce overfitting - Built a real-time Streamlit app for predictions and performance comparison - Automated preprocessing (accent removal, label encoding) for noisy and imbalanced datasets Key skills : Fine-tuning LLMs · Multitask Learning · Data Oversampling · Streamlit Deployment · Hyperparameter Optimization · NLP for French.
Python Engineer Intern
DWOOM
2023.04-2023.08
(4 months)
- Developed real-time video features (background replacement, live subtitling) using Python, OpenCV, Mediapipe, and Vosk - Boosted prospection efficiency by 40% using LinkedIn Sales Navigator and Apollo.io; identified 100+ potential SaaS clients - Gained hands-on experience with WebRTC and Docker for real-time communication - Automated image/video processing Key Skills : Python · OpenCV · Mediapipe · Vosk · WebRTC · Docker · Prospecting Tools (LinkedIn Sales Navigator, Apollo.io) · Real-Time Video Processing.

Projects

Joint project with Microsoft and AVH (DL part)
Group project - Deep learning
2023.10-2024.01
(3 months)
- Built an object detection system using YOLO and OpenCV with 90% precision - Created and labeled a custom dataset (50+ images) for model training - Boosted GPS accuracy by 90% using Random Forest - Integrated voice synthesis and recognition for a more intuitive user interface - Proposed automated labeling via Azure Pro to optimize dataset prep Key Skills : YOLO · OpenCV · Deep Learning · Random Forest · Dataset Creation · Object Detection · Voice Synthesis · Cross-Functional Collaboration.
Data Analyst & Web Scraping Specialist
Group project
2023.01-2023.05
(4 months)
- Scraped & cleaned 100+ songs/lyrics from Spotify and Genius using Python, BeautifulSoup, Selenium, and Genius API - Performed LDA topic modeling (Gensim) to extract themes - Visualized results with WordCloud and PyLDAvis, highlighting emotional trends - Proposed multilingual analysis and emotion detection for deeper insights Key Skills : Web Scraping · NLP · Topic Modeling · Data Cleaning · Python (BeautifulSoup, Selenium, Gensim) · Data Visualization · Spotify API · Genius API.

Educational experience

ESILV
Data and Artificial Intelligence
2019.08-2024.11
(5 years)
- Machine Learning & Deep Learning – Neural networks, model training, supervised/unsupervised learning - Data Analysis & Visualization – Preprocessing, statistics, data storytelling (Python, R) - Databases – SQL & NoSQL, query optimization, data modeling - Mathematics – Linear algebra, probability, multivariable calculus, optimization - Big Data & Software Engineering – Hadoop, Spark, version control, system design - Web Scraping & Automation – Data collection pipelines, APIs, BeautifulSoup, Selenium Relevant Courses : Machine Learning, Neural Networks & Deep Learning, NLP, Big Data, Software Engineering, Operating Systems, Webscapping & Data Processing