Data Analysis in MySQL
In this project we transformed raw dog behavioral data from over 1.5 million Dognition tests into actionable marketing insights.
Leveraging a strong foundation in Engineering and a passion for Industry 4.0, I am an aspiring Data Analyst with proficiency in Python, SQL, Power BI, and Statistical Analysis, committed to driving excellence through data-driven solutions @AlmujtbaSuliman
In this project we transformed raw dog behavioral data from over 1.5 million Dognition tests into actionable marketing insights.
In this project we investigated potential causes of credit card defaults using a publicly available dataset by leveraging Power BI's data visualization capabilities, .
In this project tackles customer churn prediction in a telecommunications company. It utilizes Logistic Regression to analyze factors like contract type and monthly charges.
In this project we identified distinct customer segments within a dataset. This unsupervised learning technique revealed hidden patterns in customer data, allowing us to group similar customers together.
In this project tackles customer churn prediction in a telecommunications company. It utilizes Logistic Regression to analyze factors like contract type and monthly charges.
In this project we used machine learning to build a weather prediction model for Australian rain patterns. Analyzed historical data to predict tomorrow's rain using various classification algorithms.
In this project SQL queries are used to analyze a Covid Deaths dataset. It explores mortality rates, caseloads, vaccination progress, and how these factors vary by location and continent.
In this project we tackled a messy "layoffs" dataset, employing a four-step process: identifying and purging duplicates, standardizing formats, filling in missing values, and removing records with unusable data.
In this project we extracted stock data from Tesla and GameStop using yfinance offering insights into historical prices and revenue trends.
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