I work for United Airlines as a Senior Analyst in Continuous Improvement and Enterprise Optimization department which functions as an internal consultant with primary focus on providing innovative solutions to support all divisions of the airline. Since joining United, I have been involved in several projects such as demand forecasting for developing a robust revenue management system, estimating MileagePoint redemption rate to support financial auditing. My primary role in all the involved projects has been developing and validating statistical models using data driven approaches. Some of the specific tasks are listed below:Analyzed and managed large-scale historical booking data for demand estimation and forecasting. Developed and tested count models for demand/price elasticity.Performed breakage analysis on MileagePlus point redemption.

As a doctoral student I was involved in several transportation related research projects with the aim of providing scientific and implementable solutions to state and federal agencies to improve both traffic safety and operations. I have used various statistical learning techniques ranging from time series modeling, generalized linear models,clustering techniques, Bayesian inferences,to advanced analytical tools such as causal inferences in my work. Below are the selected list of projects where I was the primary analyst.Specific Projects:Traffic Data Quality Verification and Sensor Calibration for Weigh-in-Motion (WIM) Systems (Sponsored by MnDOT) Developed an autoregressive time series model to characterize Truck weights from state wide WIM stationsEstimated the adjustment factor for WIM bias correction using statistical process control techniquesCar following, Driver Distraction, and Capacity-Reducing Crashes on Congested Freeways: An Investigation using the Naturalistic Driving Study (Sponsored by Strategic Highway Research Program, TRB) Analyzed naturalistic driving dataCharacterized driver distraction based on face videoIdentified critical events based on driver parametersReconstructed vehicle trajectoryDevelopment of Analysis Methods Using Recent Data (Sponsored by Strategic Highway Research Program, TRB) Reconstructed vehicle trajectory using in-vehicle data with Bayesian approachUsing Detailed Signal and Detector Data to Investigate Intersection Crash Causation (Sponsored by MnDOT) Analyze traffic crash causation at signalized intersections based on high-resolution traffic data