THESE PROJECTS DEMONSTRATE MY PROFICIENCY IN PYTHON, INCLUDING MY ABILITY TO WORK WITH COMPLEX DATA SETS.
THEY SHOWCASE MY SKILLS IN DATA EXPLORATION, STATISTICS, AND DATA VISUALIZATION, EMPLOYING NUMPY, SCIPY, PANDAS, SEABORN, AND MATPLOTLIB TO ACCOMPLISH THESE TASKS.
Analyzing the Factors Contributing to the Success of a Movie
Is the movie industry dying? What determines the success of a movie? I was interested in understanding the key factors that determine a movie's success, including whether the production company, the movie's budget, and other variables have a significant impact.
Analyzing the Sales History of a Tech Store
What trends and patterns can be observed in the data, and what do they indicate? How can the business optimize its operations and improve its efficiency? How effective are the current marketing strategies, and what changes can be made to improve them? I was interested in analyzing this store's sales history to provide insights on how they are performing.
Lego Data Analysis (Study Project)
This project analyzed a Lego dataset with information on the name, year, number of parts, theme name, parent theme, ID, and licensing status. Two questions were addressed: determining the percentage of licensed sets that were Star Wars-themed and identifying the year when Star Wars was not the most popular licensed theme.