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🔍 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.