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Baltimore Restaurant Data Cleaning in R Studio

This project focuses on turning a raw data set into a tidy, clean, and ready-to-use data set.
The process includes subsetting, sorting, checking missing values, transforming, and so on.

KPMG Recruitment Data Project in PowerBI

By using data visualization tool PowerBI, I create an engaging, interactive data report of social
media presence on candidates, Canadian labour market trends, and recruitment metrics.

CO2 Emissions Data Project in Tableau

First, a raw data set is processed using a data interpreter, pivoting, splitting, and joining techniques. Then, I create
interactive dashboards to discuss CO2 emission changes over time, CO2 changes in regions, and countries.

Youtube Text Data Analysis Data Project in Python

This project applies sentiment analysis on youtube comments by using python textblob. It also creates
word cloud of most used positive words and negative words. In the end, it analyzes the most popular emojis in youtube comments using python plotly library.

House Sales Data Analysis in Python

In this project, I want to investigate residential real estate in King County and determine the market price
of a house given a set of features. I will analyze and predict housing prices using attributes or features
such as square footage, number of bedrooms, number of floors, and so on. This dataset provides information about
house prices in King County which includes Seattle. It includes homes sold between May 2014 and May 2015.