This repository contains a collection of my data science projects. Each project is designed to showcase my skills and expertise in various areas of data science.
- Description: Credit risk modeling with german bank data.
- Technologies: Python, Numpy, Pandas, pyplot, Seaborn, Plotly, scikit-learn.
- Skills demonstrated: Programming, machine learning, supervised learning, feature engineering, data modeling, data visualization, exploratory data analysis.
- Description: Build of a web application using Streamlit and machine learning for detecting spam in SMS message texts.
- Technologies: Python, Numpy, Pandas, scikit-learn, sentence-transformers, Streamlit, pyplot.
- Skills demonstrated: Programming, machine learning, supervised learning, data visualization.
- Description: Build of a CNN capable of detect pneumonia from chest X-ray images.
- Technologies: Python, Numpy, Pandas, Tensorflow, Keras, pyplot, opencv, Seaborn.
- Skills demonstrated: Programming, machine learning, supervised learning, data visualization, deep learning, learning transfer.
- Description: Build of clustering models to segment the customers of a UK-based non-store online retail.
- Technologies: Python, Numpy, Pandas, Seaborn, pyplot, scikit-learn.
- Skills demonstrated: Programming, machine learning, unsupervised learning, data visualization, clustering methods.
- Description: Cancer detection from tumor characteristics using machine learning.
- Technologies: Python, Numpy, Pandas, Seaborn, pyplot, scikit-learn.
- Skills demonstrated: Programming, machine learning, supervised learning, data visualization.
I am a passionate data scientist looking for job opportunities and challenges. I specialize in transforming raw data into actionable strategies that drive decision-making and deliver measurable results with the application of data manipulation, machine learning and statistical modeling.
- Email: igor.trevelin.xavier@gmail.com
- LinkedIn: igor-trevelin
- Kaggle: igortrevelin
Feel free to explore the individual project folders for more detailed information about each project.