During my Data Science Intern virtual internship at Coding Samurai, I applied Python and SQL to datasets, performed data cleaning and exploratory analysis, and built and evaluated machine learning models.
For my Netflix Data Analysis project, I analyzed 8,807 titles to identify content trends across genres, countries, release years, ratings, and content types. I used SQL and Python to examine the data and created visualizations with Matplotlib and Seaborn.
I also built a brain tumor detection system that classified MRI images using convolutional neural networks. I compared machine learning models, trained models with TensorFlow and Keras, and created a prediction interface with Flask.
In the Deloitte Australia virtual job simulation through Forage, I analyzed financial datasets in Excel and developed interactive Tableau dashboards to visualize KPIs.
