Portfolio of data science projects completed by me for academic, self-learning, and hobby purposes. Presented in the form of .ipynp and .py Notebooks.

This project explores the Stanford Open Policing Project dataset and analyzes the impact of weather, time of day, reason for traffic stop and gender of driver on police behavior. It covers cleaning messy data, creating visualizations, combining and reshaping datasets, and manipulating time series data.

This dataset contains about 10 years of daily weather observations from many locations across Australia. It covers cleaning messy data, creating visualizations, combining and reshaping datasets, and manipulating time series data.

Tools: Pandas, Seaborn and Matplotlib