Aspiring Data Analyst | MSc. IT Student (Specializing in Data Analytics)
- Languages: SQL, Python
- Libraries: Pandas, NumPy, Matplotlib, Seaborn
- Data Visualization Tools: PowerBI, Tableau
- Databases: MySQL, PostgreSQL
- Other Tools: Google Colab, Jupyter Notebook, Git & GitHub
1. Retail Store Sales Analysis:
- TechStack:
SQL
,Python
andPostgreSQL
- Project Description: End-to-end sales analysis pipeline with ETL using Python and PostgreSQL, also features SQL-based business insights and data visualizations.
- TechStack:
Python
andTableau
- Project Description: Analyzed Diwali sales data to uncover customer trends, purchasing behaviors, and product performance.
- TechStack:
Power BI
- Project Description: Analyzed sales, profit, customer behavior and sales managers performance.
- TechStack:
Excel
- Project Description: An interactive coffee sales dashboard built in Excel using PivotTables, slicers and XLOOKUP.
- TechStack:
Python
- Project Description: Spam detection project using Naive-Bayes Classifier with a Tkinter GUI.
- TechStack:
SQL
- Project Description: Analyzed sales data using advanced SQL techniques like CTEs, window functions, and views to derive insights on salesperson performance, product sales, and customer spending.
7. Spotify Song Analysis (in progress).