🔍 Anomaly Detection for Time-Series Datasets

Goal

Detect abnormal bookings, unexpected high (or low) sales of a certain product in a certain region and reveal trends ahead of the competition that may become existential for Siemens Digital Industries. Apply unsupervised and supervised anomaly detection methods for financial time-series.

How do I run this?

1. Go to this link
2. Upload an Excel file
3. Analyze the data by the location or use a model to predict potential outliers

Team ✨

• Anne Krus
• Farah Tahir
• Gwladys Djuikom
• Hanin Al Ghothani
• Mobina Mobaraki
• Nathanya Queby S.
• Saarah Abdulla

Made for the WomenHackAI Hackathon organized by Siemens Female Data Science Network in September 2022.