This project applies text analytics and uses machine learning to predict online ad approval status, based on ad and landing page content. The work encompasses topic modelling and clustering for deep text insights, alongside robust performance evaluations of prediction models.
In this project we clean housing data in SQL Server. One of the most common and standard procedures that every Data Analyst needs to follow when they first receive the raw data.
Data Exploration of COVID 19 Dataset in SQL Server. Exploring facts such as total Population vs Vaccinations or showing countries with highest death dount per population.
In this project I am using a Movies Dataset and Python code for Reading, Cleaning the data and Finding Correlations between them. I am also visualizing the Data and I am pressenting the end results.
In this project I use a Public API to Pull data from a Cryptocurrency Website and then I automate this whole process. I load the data into a .csv file and then I provide some insights through a couple of visualizations at the end of the project.
These are all the Tableau Dashboards I have created during my training and other projects along the way. This is a direct link to my Tableau Public profile.
Power BI Dashboards in a form of .pbix desktop files, created when I was still learning how to use the tool. The Excel files attached were my Data Sources.
Data Analysis project done in Excel. From cleaning to reporting and visualizing the data.
Files created during the process of learning SQL which cover most of the functions used in SQL for Data Analysis.