After recent blockbusters like Spider-Man No Way Home, No Time to Die or Uncharted I wondered what would be the correlation between a movie’s budget and its success. To do this we will apply correlation models through Python in Jupyter Notebooks.
Study the impact of COVID-19 on an international level and at the national level (US). For this analysis I obtained the dataset through the government’s CDC official page, then I proceeded to query it and mine it to obtain the necessary data points, this was done through Microsoft Data Studio using SQL. After the mining of data was done I aimed to create a visualization of the study through Tableau data viz software.
Understand how different statistical factors can make a college basketball team successful.
Model Spain’s most optimal starting XI based on the video game FIFA 22 data.
To gain actionable insights from Airbnb’s 2019 NYC dataset. Enabling a deep understanding of guest preferences and booking trends, with the aim to identify potential opportunities for enhancing host listings performance and improving overall guest performance.
The aim of this project was to conduct an in-depth analysis of the UEFA Champions League, focusing on various key performance metrics. Using Tableau, the project sought to uncover insights into the top players, clubs, and coaches in the history of the tournament. The analysis included metrics such as player appearances, club performances, all-time winners, goal statistics, coaching records, and country-wise title wins.
The primary goal of this project was to uncover patterns among my LinkedIn connections, followers, and fans, as I am a content creator focusing on data science education. The analysis aimed to understand the impact of my content on network growth, engagement metrics, and job opportunities over the past two years.
The primary goal of this project was to develop an advanced, visually engaging dashboard using Excel to analyze and enhance the understanding of a Boston-based bank's performance across its four branches. This tool aimed to amplify the bank's decision-making processes by offering comprehensive, data-driven insights.
As a fitness enthusiast, I decided to track my steps along with running activity from my Huawei watch. The study started on May 10th and ended on the 8th of June. I decided to present a Power BI dashboard in order to have a quick overview of my exercise data.
