Shriguru is a senior analyst in Sabre Airline Solutions Operations Research team. In sabre, he is involved in building decision support systems for airline industry in demand forecasting, pricing, and market and pnr segmentation with data driven approaches. He has close to 8 years’ experience in data science and above 10 years in software industry. Prior to joining Sabre, he worked in Living Analytics Research Centre (where his work on socio-physical analytics was funded by US Army Research Lab), IBM, and IIITB and co-founded a company where he worked on emotion recognition based on smart phone data. He has published his works in IEEE, ACM, and SPIE conferences. Shriguru holds a master’s degree in Information Technology from IIIT- Bangalore.
Topic Title: Passenger Market Size Forecasting in Airline Industry
Abstract: Accurate forecast of travel demand between two cities is one of the most significant factors influencing airlines profitability. This forecast helps airlines to make correct decisions on opening new routes, increasing frequency or adding capacity on already operated flights. It also helps different entities including airlines, airports, hotels, governments, and others to develop strategy for asset and infrastructure management affected by air travel industry. In this presentation, I will discuss the current method based on time series forecasting and gradient boosting based methods with a brief description of data sources used in this work. Also, I will present the results both at market level and at cabin levels.