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ric-sar/README.md

🚀 Hi! I'm Riccardo

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Data Scientist and PhD Student in Computer Engineering @ UniCT with Economics/Computer Science background and one year of R&D experience in microelectronics field @ STMicroelectronics.

In the previous role, identified possible deep learning solutions to solve chip shortage by improving production yield at no cost to the company.

Highly organized, self‑motivated, and proficient with computers. Seeking to leverage research in data field through PhD and leadership expertise as future data project manager.

🛠️ Technologies and Tools

Data Visualization Tableau | Matplotlib, Seaborn, Plotly | ggplot2
Cloud Google Colab, BigQuery, Cloud Storage, Job Scheduler, Vertex AI, Cloud Functions
AI | ML | DL Conda | Scikit-learn | OpenCV | PyCaret | PyTorch | Captum (XA) | W&B | Streamlit | SB3 | Label Studio
IDE R Studio | Jupyter Notebook, Lab | Spyder | VSCode
Programming SQL | NoSQL | Python | R | LaTeX | Markdown
Documentation mdBook | GitBook | Docusaurus
Version Control Git | GitHub

🌱 I’m currently learning

  • Reinforcement Learning

🔥 Something interesting

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