Greetings! I'm thrilled to have you here.
I am Merdan Garlyyev, an honors junior student at Jacksonville State University, pursuing a major in Computer Science with a focus on Financial/Data Analysis and a minor in Spanish. My journey in analytics is fueled by a robust skill set in SQL, Python, Tableau, and Excel. I leverage these tools to uncover patterns and drive informed decisions through data-driven analysis.
Feel free to connect with me via LinkedIn @MerdanGarlyyev or reach out at mgarlyyev@stu.jsu.edu
This project leverages data analytics techniques to analyze housing trends in Mexico, utilizing tools such as Python for data cleaning, Matplotlib and Plotly for visualization, and statistical analysis to uncover key factors influencing pricing. The project aims to provide actionable insights into regional market dynamics through comprehensive data analysis and visualization
This project focused on leveraging SQL to explore and analyze COVID-19 data. Key aspects examined included death percentages, infection rates relative to population sizes, and global trends in new cases and deaths. The insights gained from these analyses provide a deeper understanding of the pandemic's dynamics and its impact across various locations and over different time periods
The visualization effectively communicates trends and comparisons, offering a clear visual narrative of the pandemic's impact and progression over time and across various geographic regions
The "Housing in Nashville" SQL project involved comprehensive data cleaning and preparation tasks. Key methods included converting date formats using CONVERT() function, filling missing values with ISNULL() and self-joins, splitting address data with SUBSTRING() and CHARINDEX(), and parsing multi-component fields using PARSENAME()
This project features a Student Expense Tracker app built with Python to assist students in managing their finances. The app allows users to input and categorize expenses, storing the data in a CSV file. It generates a comprehensive summary of expenses, including totals by category, overall spending, remaining budget, and a daily budget for the rest of the month
This project involved developing an in-depth analysis of stock price performance over time, leveraging SQL queries and Tableau visualizations to track the highest and lowest prices per year. Key market trends and insights were presented through interactive dashboards
This visualization captures key trends in Goldman Sachs' stock performance, illustrating patterns in pricing, trading volume, and responses to major market events over time