In this research project, we aim to conduct a comprehensive analysis of unicorn companies across the globe as of November 2021. Unicorn companies are privately held firms with valuations exceeding $1 billion USD, and they represent a subset of high-growth, innovative businesses that have garnered significant attention in the global market.
A three-part portfolio project aimed to showcase hard skills of using common data analysis tools such as R language, and Tableau. In this project, the goal was to gain insights into the sales performance of an e-commerce shop. Our objective was to understand key trends, patterns, and factors influencing sales, enabling informed decision-making.
A capstone project for the Google Data Analytics Specialization certificate. The objective of this project is to understand the differences between casual (non-subscription) riders and annual members in order to design effective marketing strategies that convert casual riders into loyal annual members. By analyzing the Cyclistic historical bike trip data, we aim to uncover insights into user behavior, preferences, and patterns, and leverage these insights to develop targeted marketing tactics.