Seyni Richard Portofolio

Data analyst proficient in SQL, Python, Power BI, Tableau and Excel
LinkedIn: @seynirichard

Movie feature correlation using python

This project aims to see how different features involved in movie dataset are correlated to each other and which features are highly correlated to the gross revenue of a movie. Libraries used include Pandas, Numpy, matplotlib and seaborn

Olympics Games Analysis

This project tries to depict key Olympics statistics from its start in 1896 to 2016. Some of the important visualisations include top medal winners, countries with more medals, total medals won, and medals won per sport. SQL was used to clean the dataset and Power BI was used to visualise the dataset.

Hotel revenues analysis

Using SQL for creating queries and Power BI for visualisation, this projects aims to highlight the trends in the revenues of the hotel industry over time.