What Makes a Movie Successful?

Found out the elements that blockbuster-successful movies have in common to use this information and make recommendations to film investors. I used Google Sheets to gather movie data, and Python in Jupyter Notebooks for the rest of the analysis.

Top Instagram Accounts

Analyzed data from the 200 most followed instagram accounts. This data can be implemented for marketing purposes on businesses, to increase sales, or engagement on their social media platforms. Divided in different categories and displayed the results in a dashboard-like Google Sheet.

Store Sales Analysis

Analyzed a store's sales data with the purpose of using the insights for inventory restocking, modifying sale prices, evaluating shipping modes. Used BigQuery to get results of the dataset in the form of CSV files. Created an interactive dashboard on Tableau to display that data visually.

Netflix Content

Analyzed Netflix streaming service's content to make recommendations to film makers, series creators, and investors so they know what kind of content is created in each country and what is not being done. Used Google Sheets to organize the data, and then Tableau to visualize it.

Cyclistic Bike-Share Rider Type Comparison

Analyzed the differences between members and casual riders of a Chicago-based bike-share company, with the objective of using this information to increase the number of annual memberships. Project done in R programming.