I love solving problems using Python, Tableau, SQL, and ML models!
@Kaggle Profile
This project involves analyzing 441 posts from the past three years on the Film Music Composing course Instagram account, @FILMMUSIC101
The aim is to identify the types of posts (Unicorns) that perform the best in terms of engagement and effectiveness. And then repeat the unicorn patterns.
Tools: Python, Random Forest Regressor
In both X(@markethistorian) and Instagram(@market.historian), I share the questions I have regarding the markets, companies, and methods of analysis. Then, I use data to answer these questions.
Tools: Tableau, Prompt Engineering, Python
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