📍 Barcelona
🔗 LinkedIn: paulinedao
Data scientist with a background in neuroscience.
- Senior Data Developer at AZ (present)
- AZ trainee program (2022-2023)
- PhD in Life Sciences (2018-2022)
- Heart disease: A data preparation and exploratory data analysis project using the Cleveland Heart Disease Dataset
- Sentiment Analysis App: An app to analyze sentiment and give the dominant emotion of a text, deployed using Flask web app.
- Loan status prediction: Prediction of loan status using Random Forest Classifier and Streamlit.
- Agentic RAG: An AI Agent using RAG to help with the organization of a fictive gala using LangGraph and Gradio app.
- GAIA Agent: An agent that can answer the GAIA benchmark level 1 questions to evaluate next-generation LLMs.
- Recipe Whisperer: (Coming Soon) A RAG chatbot to help you find vegan recipes based on ingredients availability.
- Chicago Data SQL Analysis: Analysis of Chicago schools and crime data using SQL
- Hiragana CNN: Hiragana prediction using convolutional neural network and dash app for the interface
- JLPT clustering: Japanese words clustering using Bert embedding model, HDBSCAN and UMAP for clustering and dash for the interface.
- Diabetes predictor: Diabetes predictor app using logistic regression and fastAPI. Deployed on HuggingFace space: diabetes-predictor.
Workshops:
- Git workshop: Learn how to use git with the coding "cadavre exquis", a collaborative coding activity.
- SQL workshop: SQL workshop from beginner to intermediate level, with Kahoot! questions to test students.
CodeWomen+ Barcelona activities:
- Mentoring for career development
- Coding challenges mentor for Python
- Git workshop
- SQL workshop