Rahul Saraf is currently working as a Technical Advisor Data Science in Halliburton. He has a Masters in Reservoir, Geoscience and Engineering from IFP School and has been in oil and gas industry for last 10 years working in multiple countries (France, Norway, Oman) with various projects broadly encompassing Big Data and Data Analytics, Digital OilField Development, Reservoir Surveillance and Real Time Operations; Experimental designs, Advanced Reservoir Simulation and Assisted History matching. He has significant experience with novel technologies like Fiber Optics (DTS & DAS) and Edge Computing (Beam Pump Optimization and Real time POC). In addition to expertise in Core E& P domain, he has significant expertise in Lean Project Management, EBS , Predictive Analytics and Machine learning; and Software design and Implementation as applied to really big data (DAS) or high frequency real time data (edge computing). He was part of Z-Acoustic team (Ziebel) which won Norwegian Research Council grant for building next generation technology for analyzing and visualizing terabytes of Real time Distributed Acoustics Data and developing its applications in areas for real time monitoring, production optimization, well modelling and reservoir surveillance.