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,PythonandPostgreSQL - Project Description: End-to-end sales analysis pipeline with ETL using Python and PostgreSQL, also features SQL-based business insights and data visualizations.
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PythonandTableau - Project Description: Analyzed personal LinkedIn data to avail connections and messages insights.
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PythonandTableau - Project Description: Analyzed Diwali sales data to uncover customer trends, purchasing behaviors, and product performance.
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Power BI - Project Description: Analyzed sales, profit, customer behavior and sales managers performance.
5. Amazon Logistics Delivery Performance Dashboard:
- TechStack:
Excel - Project Description: An end-to-end delivery performance interactive dashboard built in Excel with proper methodology using PivotTables and slicers.
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Excel - Project Description: An interactive coffee sales dashboard built in Excel using PivotTables, slicers and XLOOKUP.
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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.