Customer Support Ticket Analysis

This project analyzes customer support tickets to identify common issues and suggest solutions for faster response and resolution.

Project Goal

1. Understand frequent customer problems

2. Improve support team performance

3. Reduce response and resolution time

Tools Used

1. Python (Pandas, NLTK)

2. Excel

3. Google Colab

Steps Performed

1. Loaded and cleaned the dataset

2. Analyzed common ticket issues

3. Checked missing values

4. Calculated resolution time

5. Visualized ticket priorities

6. Suggested process improvements

Key Insights

1. Most tickets were about technical issues

2. Many delays were caused by late first responses

3. Automating FAQs can save support time

Skills Gained

1. Data cleaning

2. Text analysis using NLTK

3. Problem-solving

4. Visualization and reporting

Deliverable

A summary report of issues and recommendations to improve customer support.