DATA ANALYST | SQL DEVELOPER | PYTHON | TABLEAU
In this project I drive a cleaning data process to prepare data for analysis by modifying incomplete data, removing
irrelevant and duplicated rows, splitting addresses, and modifying improperly formatted data.
Data cleaning is not about erasing information to simplify the dataset, but rather finding a way to maximize the
accuracy of the collected data.
This contains my public Tableau Dashboards of different visualizations where each view showcases a different kind of data at the same time. It allows a holistic view of all the data on one screen.
This project extracted financial data like historical share price and quarterly revenue reporting from various sources using Python libraries and webscrapping on popular stocks. Collected data is visualize in a dashboard to identify patterns or trends. These stocks include Tesla, Amazon, AMD, and GameStop.
This SQL project uses keywords which are the pillar of the SEO architecture of a website, and so it is for SEM strategies. When keyword research is done, they may come from several sources. Manually categorizing is not an option if you have hundreds of miles of keywords for different products, industries, and from multiple sources.
Data Analysis project to help Abegmusic.com store optimize their business opportunities and to help answer business related questions using SQL
This project used SQL schema clone of Instagram's database structure with implementation of commonly expected database queries.
This project uses phyton to analyse the sales data of the company, Cafee and predict prices of their items using machine learning algorithms.