Business Intelligence Analyst bridging the gap between Marketing strategy & Financial analysis
to give actionable and valuable insights
on sustainable profitability. @Malick
The aim was to use Pandas, Numpy and Seaborn libraries to analyze the top 2000 songs released from 1956 to 2019 and streamed on Spotify. I calculated correlations between different musical traits, such as popularity and danceability, to understand customers' behavior.
The objective was to evaluate the influence of vaccines on the evolution of the 3rd wave in Senegal and in France.
The goal was to practice basic data cleaning methods such as column name changes, column joints and aggregations using Python and Pandas.
