Performed data analysis on an NBA data set aggregated from the past 10 seasons (2012-2022), with the intent to find which players stats are highly correlated with each other, distribution of minutes compared to regular season and playoffs and how has the game changed over the past 10 seasons.
Developed a skincare recommender system utilizing the machine learning KNN (K-Nearest Neighbors) algorithm, aimed at creating a personalized skincare routine. This system takes into account various user factors such as skin type, skin concerns, and key ingredients to tailor recommendations effectively.
An Analysis done on a IMDB dataset with the goal of modelling the variables that deem to be significant on the rating of the movie. Analysis and statistical modelling was done on R, data cleaning and wrangling was done with the use of Python pandas library.
A visual analysis on my favorite athlete where I want to unravel his career by diving into his game data, we can also trace the evolution of Kobe's career and identify key moments that defined his legacy. Data was scraped and processed using python and visualized with tableau