What I have done so far
Sampa Automotive
Sampa Automotive
Wyższa Szkoła Bankowa, Poznan Poland
Patika.dev, Remote
Gazi University, Turkey
SQL
DJANGO
PYTHON
JUPITER NOTEBOOK
POWER BI
POWER BI
NumPy
Pandas
Matplotlib
Seaborn
Seaborn
Tailwind CSS
HTML
Microsoft Azure
My work
Following projects showcases my skills and experience through real-world examples of my work. Each project is briefly described with links to code repositories and live demos in it. It reflects my ability to solve complex problems, work with different technologies, and manage projects effectively.
This project contains various SQL queries executed on Microsoft's AdventureWorks2022 Database. AdventureWorks is a sample database designed for Online Transaction Processing (OLTP), widely used for learning and testing purposes. It includes scenarios for sales, product inventory, purchasing, and customer management.
#Microsoft Azure
#Microsoft SQL
This project consists of two modules employee attendance tracking and student subject allotment. It tracks employee work hours and allocates subjects to students based on preferences and available seats, with functionality for processing subject change requests.
#MySQL
This project focuses on analyzing a dataset of Netflix shows to uncover insights about content types, ratings, and duration and content types. I cleaned and explored the data, then visualized key insights, such as the relationship between show duration and ratings. The analysis provides a deeper understanding of Netflix content and trends.
#Pandas
#Seaborn
#Jupiter Notebook
This project focuses on analyzing a dataset of Netflix shows to uncover insights about content types, ratings, and duration and content types. I cleaned and explored the data, then visualized key insights, such as the relationship between show duration and ratings. The analysis provides a deeper understanding of Netflix content and trends.
#Pandas
#Seaborn
#Jupiter Notebook
This dashboard provides insights into sales performance, revenue, profit, and quantity sold across different time periods, regions, and product categories. It includes segment-wise and state-wise sales analysis, profit trends by year and quarter, and category-level breakdowns.
#Power BI
This dashboard provides insights into sales performance, revenue, profit, and quantity sold across different time periods, regions, and product categories. It includes segment-wise and state-wise sales analysis, profit trends by year and quarter, and category-level breakdowns.
#Power BI
In this project, I conducted data analysis using SQL on five different case studies across various industries. By working with order management, customer behavior, subscription models, and business processes, I performed data cleaning, querying, and analysis to generate insights for strategic decision-making.
#MySQL
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