I hold a PhD cum laude with a thesis about Neuroscience and Deep Learning. I have written scientific papers about neuromorphic chips, brain simulation, deep learning, and big data applications in pharmaceutical and bioinformatics.
Application for real-time translation from sign language to text. Use of open-cv for video processing. Use of landmark detection models and training of classification models.
Best page award in a hackathon about a rare disease called Neurofibromatosis. I have trained models to predict cancer types using genomic and clinical data. Use of NLP techniques for clustering genes. Development of a web application to analyze the results.
Sentiment analysis using Machine Learning models (BERT, LightGBM, Logistic Regression). Use of SHAP explainability technique to get the most important words. Visualization using word clouds.