🏢 I'm a data enthusiast pursuing my postgraduate studies in Data Science, Business Intelligence, and Artificial Intelligence at PUC-Rio. With a solid foundation in the healthcare sector, I am actively seeking exciting prospects within these domains. Passionate about personal projects, I thrive on broadening my expertise in data science
⚙️ My daily toolkit: Python, Ruby on Rails, JavaScript, HTML, CSS, Postgresql
🌱 Currently immersed in mastering Python, Machine Learning, Ruby on Rails, SQL, and JavaScript
📨 contact me : ✏️ [email protected]
⚡️ Fun fact: I like being outdoors, running and Jerk Chicken
✍🏻 My projects
Data Science
- Covid detection based on Xray: https://github.com/leynessa/covid_detection_based_on_xray
- Image classifier to tell if someone is sad or happy: https://github.com/leynessa/sadhappy_classifier
- Detect the age of patients based on the chest xrays: https://github.com/leynessa/chest_xray/tree/master
- Determine the survival rate of persons on the Titanic: https://github.com/leynessa/ds_projects/blob/main/basic_Classifier_python_and_titanic.ipynb
- Determine is the Breast cancer is malignant or not using binary classification: https://github.com/leynessa/ds_projects/blob/main/binary_class_breast_cancer.ipynb
BI
https://github.com/leynessa/power_BI_pratice
ROR
Staysafe website: https://github.com/leynessa/staysafe | https://staysafe-rio.herokuapp.com/
JS
50 Javascript projects in 50 days challenge: https://github.com/leynessa/50projects/tree/master