Anomaly Detection in Unstructured Dataset

I need assistance with a small project involving machine learning and dataset analysis. The primary objective is to detect anomalies within my dataset.

Key Details:
- The project centers around anomaly detection using a machine learning model.
- The dataset is unstructured, comprising text documents and images.
- Your role will be to help generate results and interpret findings.

Ideal Skills and Experience:
- Proficiency in machine learning techniques, particularly in anomaly detection.
- Experience handling and processing unstructured datasets.
- Ability to generate and interpret results effectively.

Please provide examples of similar projects you've worked on in your proposal.