Marketplace Profitability & P&L Engine Overview This project is an end-to-end E-commerce Marketpl...Marketplace Profitability & P&L Engine Overview This project is an end-to-end E-commerce Marketpl...
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Marketplace Profitability & P&L Engine
Overview
This project is an end-to-end E-commerce Marketplace Analytics solution built using MySQL, SQL, Power BI, and Excel.
The objective of this project is to analyze marketplace profitability across multiple sales channels by calculating revenue, product costs, marketplace commissions, shipping expenses, and net profit.
The project simulates a real-world marketplace operations environment where business teams need visibility into product performance, marketplace profitability, and operational KPIs.
Business Problem
E-commerce businesses often track revenue but fail to understand true profitability.
This project helps answer key business questions:
Which marketplace generates the highest profit?
Which products are most profitable?
How do commissions impact margins?
What is the overall profit margin?
How does shipping cost affect profitability?
Tech Stack
MySQL
SQL
Power BI
Microsoft Excel
Data Sources
Products
Contains SKU-level product information.
Fields:
SKU
Product Name
Category
Cost Price
Selling Price
Orders
Contains marketplace order transactions.
Fields:
Order ID
Order Date
Marketplace
SKU
Quantity
Marketplace Charges
Marketplace commission structure.
Fields:
Marketplace
Commission Percentage
Shipping Cost
Shipping cost by marketplace.
Fields:
Marketplace
Shipping Cost
Returns
Order return information.
Fields:
Order ID
Return Status
SQL Implementation
The project uses multiple SQL tables and joins to create a unified profitability dataset.
Key SQL Concepts Used:
CREATE TABLE
INNER JOIN
SQL Views
Aggregations
Calculated Metrics
A consolidated analytical view was created:
vw_marketplace_pnl
This view combines all business logic and serves as the primary source for Power BI reporting.
Total Revenue
Total Profit
Total Orders
Profit Margin %
Marketplace Analysis
Revenue by Marketplace
Profit by Marketplace
Marketplace Performance Comparison
Product Analysis
Top Profitable Products
Product Revenue Analysis
Product Profitability Ranking
Trend Analysis
Revenue Trend
Profit Trend
Order Trend
Project Architecture
Excel → MySQL → SQL View → Power BI Dashboard
Key Outcomes
Built a scalable marketplace profitability model.
Centralized business logic using SQL Views.
Automated profitability calculations.
Delivered interactive executive dashboards for decision-making.
Simulated a real-world marketplace operations analytics workflow.
Skills Demonstrated
SQL
Data Modeling
Business Intelligence
Power BI
E-commerce Analytics
Marketplace Operations
Profitability Analysis
Data Visualization
Author
Sunny Mehta
Open to opportunities in:
E-commerce Operations
Marketplace Management
Business Analytics
Operations Analytics
Data Analytics
I’ve been building JobTrackr, a job application tracker that helps people organise their whole job search in one place.
One of my recent additions is Insights, a private product analytics dashboard. I wanted to go beyond counting sign-ups and understand whether people were actually getting value from the product.
I set a few rules for it:
- Every metric comes from read-only database queries.
- Anything that isn’t measured shows as “Not tracked”, never zero.
- Activity counts things people saved, not page visits.
The early numbers:
- 59 registered accounts
- 152 tracked applications
- A 27.1% activation rate
- A median of 5 minutes from sign-up to first application, for accounts that start
- Job URL extraction: 11 attempts, all with usable results, and 5 became saved applications
The takeaway is that people who start, start quickly. The work now is helping the other 73% take that first step. Instead of just adding features, I’m using these numbers to find where people get stuck.
It’s been a good chance to work across product design, frontend engineering, backend integrations and product analytics, and to see how those decisions hold up with real users.
Healthcare Executive Overview | Power BI Dashboard
This Healthcare Executive Overview dashboard brings key healthcare performance indicators into one interactive view, helping management monitor activity, identify trends, and make more informed operational decisions.
The dashboard provides an overview of:
Total Encounters, Unique Patients, Admission Rate, Total Charges, Average Waiting Time and more.
With interactive Year and Month slicers, users can explore performance across different reporting periods, compare trends, and examine results across healthcare facilities.
The goal is simple: turn healthcare data into meaningful insights that support better planning, resource allocation, financial monitoring, and operational decision-making.
Built with Power BI, this dashboard demonstrates how business intelligence can help healthcare administrators move beyond static reports and gain a clearer picture of organizational performance.
Built an end-to-end Manufacturing Analytics project using SQL and Power BI.
The project focuses on analyzing sales performance, inventory levels, product costs, and estimated profitability.
Key business insights:
• Sales performance and monthly trends
• Inventory tracking and stock analysis
• Product-level cost and margin analysis
• Bulk vs Regular order comparison
Tools: SQL Server, Power BI, DAX.
This is an independent portfolio project demonstrating practical business analytics skills.