SoumyasreeMitra/Customer-Operations-Financial-Reporting-System
Automated financial reporting system that generates executive dashboards, KPIs, and business insights from transaction data using Python.
๐ฆ Customer Operations Financial Reporting System
Automated Financial Reporting & Operations Analytics Platform
๐ฏ Project Purpose
Designed and implemented an automated financial reporting system that supports customer operations, business visibility, and performance tracking.
This system simulates how operations teams manage:
Financial reporting
Revenue tracking
Refund monitoring
State-wise performance analysis
Operational error analysis
Executive summary reporting
The goal was to reduce manual reporting effort and improve decision-making visibility for stakeholders.
๐ผ Business Problem
Operations teams often face:
Manual Excel reporting
Inconsistent financial tracking
Limited monthly performance visibility
No structured insight generation
Poor traceability of operational errors
This project solves that by automating the entire reporting pipeline.
๐ ๏ธ What This System Does
1๏ธโฃ Owns End-to-End Reporting Workflow
Loads transaction dataset
Cleans financial fields
Validates operational data
Calculates KPIs
Generates automated Excel dashboard
Creates executive-level insights
Maintains audit logs
2๏ธโฃ Automated Financial KPIs Generated
Total Transactions
Gross Revenue
Refund Volume
Net Revenue
Average Transaction Value
Refund Rate
Operational Error Rate
Monthly Net Revenue Trend
Top 10 Revenue-Contributing States
3๏ธโฃ Executive-Level Excel Dashboard
The system automatically generates a professional Excel report containing:
๐ Executive Summary
KPI highlights
Currency & percentage formatting
Clean structured presentation
๐ Monthly Revenue Trend
Time-series aggregation
Line chart visualization
Revenue stability monitoring
๐ State Performance Analysis
Top 10 performing states
Revenue concentration analysis
Bar chart visualization
๐ก Business Insights Sheet
Auto-generated narrative insights such as:
Revenue health summary
Refund control effectiveness
Top contributing state
Revenue dips & peaks
Operational stability commentary
๐ Impact Delivered
โ Reduced manual reporting effort
โ Standardized KPI tracking
โ Improved financial visibility
โ Enabled monthly performance review
โ Highlighted operational risk areas
โ Structured executive-ready summaries
๐๏ธ System Architecture (Modular & Scalable)
Financial-Reporting-System/
โ
โโโ config.py
โโโ main.py
โโโ data_loader.py
โโโ data_validator.py
โโโ kpi_calculator.py
โโโ report_generator.py
โโโ summary_generator.py
โโโ logger_config.py
โ
โโโ data/
โโโ reports/
โโโ logs/
๐ Operations Ownership Demonstrated
This project demonstrates ability to:
Own a reporting portfolio
Automate financial dashboards
Track revenue & refunds
Identify operational anomalies
Generate business recommendations
Improve process efficiency
Build structured documentation
Maintain audit logs
๐ง Analytical Thinking Applied
Time-series aggregation for trend detection
Revenue vs refund ratio modeling
State-wise performance ranking
Error rate computation for operational risk
Insight generation for leadership reporting
๐ Skills Demonstrated
Financial Reporting Automation
Business KPI Engineering
Data Validation & Quality Control
Executive Dashboard Creation
Process Optimization
Structured Logging & Monitoring
Operations Analytics
๐ How to Run
pip install pandas openpyxl
python main.py
Report generated in:
/reports/
Logs generated in:
/logs/
๐ฎ Future Enhancements
Incentive Compensation Modeling
Sales Performance Tracking
Customer Portfolio Segmentation
Automated Email Distribution
Web Dashboard Deployment
๐ฉโ๐ป About Me
Soumyasree Mitra
AI/ML Enthusiast | Operations Analytics | Financial Reporting Automation
Passionate about building systems that improve visibility, automation, and operational efficiency.