• Using OpenAI’s API to generate concise summaries of job offers from lengthy descriptions
• Implementing prompt engineering techniques and language model fine-tuning to enhance summary accuracy
• Complete execution of a data science project, from data collection to modeling
• Applied various machine learning and deep learning models
• Stock price evolution prediction based on textual data and market indices
• Utilized Bagging and Stacking methods
• Implemented transformers on Hugging Face
• Applied contrastive learning techniques
Programming Languages: Python, SQL, R, C
Modeling Techniques: Linear Models, Decision Trees, SVM, Neural Networks
Big Data Processing: Spark, Hadoop
Software Engineering: Git
• Music: Guitar and music theory at Marseille Conservatory (2006-2018)
• Sports: tennis, swimming, volleyball, running
• Volunteering: One-month mission in Israel with Taglit, supporting local communities