Analyze the Ontario Sunshine List publications to identify whether or not the $100K metric is still valid and is in fact transparent. The aim is to identify hidden trends such as gender inequality in the public workforce. This analysis showcases a complete data pipeline from extracting, transforming data to analysing and using machine learning for prediction and finally Tableau for visualization. Machine Learning is used to predict gender based on first name. Tools used: Python, SQL, Tableau, Postgres, Tableau, Jupyter Notebook, SqlAlchemy, NLTK, HTML, CSS, JavaScript
Code Live DemoAnalyze rideshare data for a ride-sharing app company using 5 months data in 2019 and create a compelling visualization that will help improve access to ride-sharing services and determine affordability for underserved neighborhoods. Tools used: Python, Tableau Public
Code Live Demo