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SoumyasreeMitra/Customer-Operations-Financial-Reporting-System

Automated financial reporting system that generates executive dashboards, KPIs, and business insights from transaction data using Python.

๐Ÿฆ Customer Operations Financial Reporting System

Automated Financial Reporting & Operations Analytics Platform

๐ŸŽฏ 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.

๐Ÿ’ผ 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.

๐Ÿ› ๏ธ What This System Does
1๏ธโƒฃ 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๏ธโƒฃ 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๏ธโƒฃ Executive-Level Excel Dashboard

The system automatically generates a professional Excel report containing:

๐Ÿ“„ Executive Summary

KPI highlights

Currency & percentage formatting

Clean structured presentation

๐Ÿ“ˆ Monthly Revenue Trend

Time-series aggregation

Line chart visualization

Revenue stability monitoring

๐Ÿ“Š State Performance Analysis

Top 10 performing states

Revenue concentration analysis

Bar chart visualization

๐Ÿ’ก Business Insights Sheet

Auto-generated narrative insights such as:

Revenue health summary

Refund control effectiveness

Top contributing state

Revenue dips & peaks

Operational stability commentary

๐Ÿ“Š Impact Delivered

โœ” Reduced manual reporting effort
โœ” Standardized KPI tracking
โœ” Improved financial visibility
โœ” Enabled monthly performance review
โœ” Highlighted operational risk areas
โœ” Structured executive-ready summaries

๐Ÿ—๏ธ System Architecture (Modular & Scalable)
Financial-Reporting-System/
โ”‚
โ”œโ”€โ”€ config.py
โ”œโ”€โ”€ main.py
โ”œโ”€โ”€ data_loader.py
โ”œโ”€โ”€ data_validator.py
โ”œโ”€โ”€ kpi_calculator.py
โ”œโ”€โ”€ report_generator.py
โ”œโ”€โ”€ summary_generator.py
โ”œโ”€โ”€ logger_config.py
โ”‚
โ”œโ”€โ”€ data/
โ”œโ”€โ”€ reports/
โ””โ”€โ”€ logs/
๐Ÿ”„ 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

๐Ÿง  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

๐Ÿ† Skills Demonstrated

Financial Reporting Automation

Business KPI Engineering

Data Validation & Quality Control

Executive Dashboard Creation

Process Optimization

Structured Logging & Monitoring

Operations Analytics

๐Ÿš€ How to Run
pip install pandas openpyxl
python main.py

Report generated in:

/reports/

Logs generated in:

/logs/
๐Ÿ”ฎ Future Enhancements

Incentive Compensation Modeling

Sales Performance Tracking

Customer Portfolio Segmentation

Automated Email Distribution

Web Dashboard Deployment

๐Ÿ‘ฉโ€๐Ÿ’ป About Me

Soumyasree Mitra
AI/ML Enthusiast | Operations Analytics | Financial Reporting Automation

Passionate about building systems that improve visibility, automation, and operational efficiency.

Languages

Python100.0%

Contributors

Created February 23, 2026
Updated February 23, 2026
SoumyasreeMitra/Customer-Operations-Financial-Reporting-System | GitHunt