Angelo Guarino

I am a Data Scientist with a background in Economics and Finance. My main interests are in generative AI (genAI) and large language models (LLMs). I am currently expanding my knowledge by learning data engineering best practices for data ingestion and ETL pipelines.

Work

Previously, I worked at Cubbit as an SDR and a Data Scientist.

Technical skills 🏗️

Here are some of the skills I have been using in my projects:

• Programming Languages: Python, SQL, R
• Deep Learning & Generative Models: GANs, Variational Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks
• Natural Language Processing (NLP): Text classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, Transformers (e.g., Phi, Llama, Gemma, GPT)
• Supervised Learning: Regression models (Linear, Lasso, Ridge), Classification Models, Sequence Processing, MLPs
• Unsupervised Learning: Clustering (K-Means), PCA, Dimensionality Reduction, Anomaly Detection
• Web Development: HTML, CSS, JavaScript
• Tools: Git, Docker, CLI, Jupyter Notebook, LaTeX, PyCharm, Excel
• Frameworks & Libraries: PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost, Numpy, Pandas, Matplotlib, Seaborn
• Cloud & Data Tools: Apache Kafka, Google BigQuery, SQL databases