I’m Camille Pittet, a Master's student in SV with a focus in Data Science at EPFL. My work and projects are centered around machine learning, data science, and image analysis.
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Unsupervised Recommendation Analysis:
- Developed an efficient movie recommendation system by analyzing synopses using Latent Dirichlet Allocation (LDA) for unsupervised clustering. Focused on uncovering hidden patterns beyond traditional genres. [repository]
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Automated Coin Detection:
- Worked on an image analysis project for the detection and classification of euro and franc coins. Built an automated classification system for coin detection. [Python repository coming soon!]
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Sarcasm Detection Using Sentiment Analysis:
- Explored deep learning for emotional pattern detection in sarcasm from TV show videos. Used multi-modal data (audio, text, and frames) to detect sarcasm. [repository]
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Predicting Cocaine Use Disorder and Post-Traumatic Stress Patients:
- Focused on classification, conducted under the supervision of Dr. Lina Dietker at the Laboratory of Experimental Psychopathology and Psychotherapy, University of Zurich. [repository]
Feel free to reach out by Email!