Skip to content
View albertoparenti's full-sized avatar
1 follower · 2 following

Block or report albertoparenti

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
albertoparenti/README.md

Hi, I'm Alberto 👩‍💻

Data Analyst/Data Scientist

About Me:

  • 💻 I am a Data Analyst/Data Scientist at Link Redglue, a Portuguese consulting firm;

  • 🎓 I did a Master's Degree in Data Science and Advanced Analytics, with a Major in Data Science, in Nova IMS, Lisbon;

  • 📝 For my Master's thesis, I used Hugging Face’s multilingual BERT and spaCy’s monolingual and multilingual models to measure emotional content in political speeches from transcripts in 21 official languages of the European Parliament;

  • 👀 I am seeking a more dedicated Data Science role to apply and advance the skills honed throughout my Master’s studies;

  • ❔ The available repositories are most projects I developed during my academic path in Data Science.

Skills:

Python SQL Numpy Scikit Learn Jupyter Pandas TensorFlow Plotly Keras

🤗 Connect with me:

alberto-parenti-2454641b7

Pinned Loading

  1. Bsc-Thesis Bsc-Thesis Public

    Applied text mining techniques to compare the sentiment analysis about Donald Trump and Joe Biden during the last American elections after having extracted a sample of more than two million tweets.

    R

  2. Data-Mining-Project Data-Mining-Project Public

    Developed a Customer Segmentation for a fictional insurance company by using, in one case, the combination of the K-means algorithm and the hierarchical clustering and in the other one K-Prototypes…

    Jupyter Notebook

  3. Deep-Learning-Project Deep-Learning-Project Public

    A Generative Adversarial Network (GAN) for the generation of deepfakes developed using Keras.

    Jupyter Notebook

  4. Machine-Learning-Project Machine-Learning-Project Public

    Applied numerous algorithm models to solve a binary classification problem of predicting if any given prospective customer converts to a sale, through the company’s online sales channel.

    Jupyter Notebook