An end-to-end Financial Analytics Dashboard built using SQL, Python, Power BI, and Excel.
This project demonstrates an end-to-end Financial Analytics solution using SQL, Python, and Power BI. The objective was to analyze financial performance, identify business trends, and build an interactive dashboard for decision-making.
- Power BI
- SQL
- Python
- Pandas
- NumPy
- Matplotlib
- Microsoft Excel
- Data Collection
- Data Cleaning
- Exploratory Data Analysis (EDA)
- SQL Business Queries
- Data Modeling
- DAX Measure Creation
- Dashboard Development
- Business Insights
- Total Revenue
- Total Expense
- Total Profit
- Profit Margin %
- Units Sold
- Monthly Revenue & Profit Trend
- Revenue by Product
- Revenue by Customer Segment
- Profit by Region
- Budget vs Actual Revenue
- Interactive Filters
- Data Cleaning
- SQL Querying
- Exploratory Data Analysis
- Data Visualization
- DAX
- Dashboard Design
- Business Intelligence
Aftab Monye
LinkedIn: www.linkedin.com/in/aftab-monye