■ 09.2016 - 12.2016 ■ Project AXA Data Challenge ○ Prediction Model - Big Data ○ Scholar Project ○ Supervisor: Michalis Vazirgiannis {mvazirg@lix.polytechnique.fr}
○ Technical Keywords: Python, Anaconda, Time Serie Data ○ Github
AXA data challenge is based on the economic problem of supply and demand, which means balancing the priorities of service levels and labour cost in AXA contact center. In this case, the main purpose is the accurate workload forecast for having the right number of staff in this contact center. For this challenge, an inbound call forecasting system is proposed for predicting the number of incoming calls for AXA call center in France.
○ Technical Keywords: Python, Anaconda, Time Serie Data ○ Github
AXA data challenge is based on the economic problem of supply and demand, which means balancing the priorities of service levels and labour cost in AXA contact center. In this case, the main purpose is the accurate workload forecast for having the right number of staff in this contact center. For this challenge, an inbound call forecasting system is proposed for predicting the number of incoming calls for AXA call center in France.