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.
| 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 |
- Reinforcement Learning
- We gave a demonstration of YOLOv8 during the SHARPER Night Event, if you are interested in check THIS repo
- Conda Cheat Sheet
- LaTeX Cheat Sheet
- The Ultimate PhD Stundent Guide
- Fast OpenSSH Setup on Windows