This project analyzes passenger feedback data collected from Indigo Airlines’ in-flight meal services. Airlines today compete not just on price or punctuality, but also on experience, and meals are a major part of that. Using Python and Pandas in Google Colab, this analysis uncovers key insights around vendor performance, frequent complaint routes, and repeat customer dissatisfaction.

Vendor Issues: TajSATS received the most complaints, especially for taste and packaging.

Route-Based Complaints: Routes like DEL-BLR and MAA-CCU showed higher dissatisfaction rates.

Packaging Concerns: Ratings under 3 were mostly linked to TajSATS.

Repeat Complainers: Identified a group of frequent flyers regularly providing negative feedback.

Conduct quality reviews for underperforming vendors.

Focus audits on packaging and hygiene.

Monitor high-complaint routes closely.

Proactively resolve issues from repeat complainants.

Python (Pandas)

Google Colab

Data Visualizations (Matplotlib/Seaborn)

Presentation Deck: https://www.canva.com/design/DAGooeVtOoE/1uvnTD5t3ECMyrI0qogiXw/view?utm_content=DAGooeVtOoE&utm_campaign=designshare&utm_medium=link2&utm_source=uniquelinks&utlId=h108b1a14d4