In this analysis, I explored music across different genres from 1950 to 2019. Additionally, I examined the emotion scores for each genre and various music topics to uncover some interesting insights.
Tools: SQL, Tableau
Analysis of English Premier League football, Pythagorean Expectation, Regression, Man City performance, Game against Aston Villa analysis
Tools: Python, Regression, Data Scraping, Visualization
Instagram(@filmmusic101), Posts performance analysis of my own music online education platform @filmmusic101
Tools: Python, EDA, Machine Learning
The Tableau Dashboard showcases the performance metrics of 113 newsletters distributed by Film Music 101 over the past three years. Metrics such as open rate, click rate, hesitation to buy, countries,
newsletter types, and time periods are utilized to provide insights into the effectiveness of the newsletters.
Tools: Tableau Public
This project involves analyzing the dataset from Cyclistic, a virtual bike-share company in Chicago. Our objective is to uncover insights
that will assist in converting more casual customers into annual subscribers, ultimately driving up the company's revenue.
Tools: Excel, SQL, Tableau