/data-science

Data Science Projects Portfolio

Primary LanguageJupyter Notebook

Data Science Portfolio

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.

Projects

German Credit Risk

  • 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.

SMS Spam Detection - Classification

  • 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.

Pneumonia Detection from Chest X-Ray

  • 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.

Customer Segmentation of Online Retail

  • 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.

Cancer Detection

  • 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.

About Me

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.

Contact Information

Feel free to explore the individual project folders for more detailed information about each project.