π Make the world a better place! π
I'm a Data Scientist based in Italy, somewhere between the city of Milan and the beautiful italian Alps.
I have more than 5 years of Python development working experience in the Energy & Utilities Data Analytics field.
I have experience with sensor-based high frequency time-series data and Real Time Analytics.
In the past 5 years I cooperated with a team of brilliant Data Engineers and Data Scientists to design and deliver reliable, high-quality and cost-effective software solutions for complex business requirements, including Live Analytics Applications.
I'm currently learning and experimenting with some cool stuff (keep reading for more details).
Also checkout my learning journey and published code solutions on exercism.
On a personal note, I spend a lot of my free time hiking, hitting the gym, going to photography exhibitions and watching tennis tournaments.
I am actively searching for a new position.
Do not hesitate to contact me at my email ([email protected]) or on social media.
I'm currently:
- Upskilling by taking some online courses and experimenting with the learned concepts. At the moment my focus is on cloud technologies (in particular AWS) and Generative AI.
- Learning and practicing with Bash and Vim.
- Python:
- Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, Cprofile, Snakeviz, Memray, etc.
- Machine Learning:
- Unsupervised Models - Agglomerative Clustering, KMeans Clustering;
- Supervised Models: for binary and multi-class classification and regression - Decision Tree, Random Forest, XGBRegressor.
- Platforms & Technologies: GitLab, GitHub, Vim, Bash, Jupyter Notebook, Jupyter Hub, Pycharm.
- Data Science: Exploratory Data Analysis, Data Visualization, Data Cleaning.