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AndreaLolli2912/README.md

👋 Hello, I'm Andrea Lolli

🎓 Bachelor's graduate in Artificial Intelligence from the University of Pavia, Milano Statale, and Milano Bicocca, currently pursuing an MSc in Data Science and Engineering at the Polytechnic University of Turin.

🛠️ Professional Experience

  • Accenture Spa's Applied Intelligence Department: Developed HealthVision-AI, an advanced OCR solution leveraging multimodal large language models and AI services, achieving an 18% increase in extraction accuracy over existing solutions for a primary client.

🤝 Get in Touch

I'm open to connecting with professionals and collaborators in the AI community. Feel free to reach out via LinkedIn or email me at [email protected].

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  1. HipHop-Community-Detection-and-LLM-Sentiment-Analysis HipHop-Community-Detection-and-LLM-Sentiment-Analysis Public

    Community Detection and Sentiment Analysis (Polarity Detection) for HipHop Communities on Reddit

    Jupyter Notebook 2

  2. AndreaLolli2912 AndreaLolli2912 Public

    My Description

  3. spectral-clustering-shifted-power-method spectral-clustering-shifted-power-method Public

    A Python-based spectral clustering project, from-scratch implementation of the Shifted Inverse Power Method with Deflation for iterative eigenvalue computation computation, leveraging SciPy to hand…

    Jupyter Notebook

  4. speech-based-age-estimation speech-based-age-estimation Public

    An end-to-end pipeline for predicting a speaker’s age from short audio samples. This project integrates advanced audio feature extraction (time-frequency statistics, Mel-spectrogram analysis) with …

    Jupyter Notebook

  5. BSc-Artificial-Intelligence-Final-Thesis BSc-Artificial-Intelligence-Final-Thesis Public

    HealthVision AI: Leveraging Multimodal Large Language Models for Streamlining Health Insurance Claims and Expense Reimbursements

  6. pca-clustering-student-profiling pca-clustering-student-profiling Public

    A Python project demonstrating PCA-based dimensionality reduction on a 150-feature student survey dataset and subsequent k-Means clustering to identify distinct student profiles.

    Jupyter Notebook