Mourya B. Email & Phone Number

Chicago, Illinois, United States

Buffalo, New York, United States

• Predicted and analyzed the passenger recovery process for both international and domestic airlines after COVID-19 using SARIMA Intervention Analysis to determine the passenger volume and time to recovery to pre-pandemic level• Created a database for both domestic and international from 2010 to 2020 using schemas in SQL• Cleaned the data, removed duplicates, and used aggregated functions to extract required data for predictive analysis • Accuracy of 82% was achieved through SARIMA time series model for the passenger volume (Pre-pandemic)• Incorporated a transfer function to the SARIMA model to predict the recovery time and passenger volume after a black swan effect; Resulting in an accuracy of 79%, while predicting the recovery time of passenger traffic to the pre-pandemic level by 1st quarter of 2024. Thereby, helping the airline industry to prepare a strategy as per demand resulting in cutting down on losses

India

Cleaned and prepared data using SQL to track weekly sales data to chart whether departments hit goals• Modeled and analyzed structured and un-structured data, improved demand forecasting that reduced backorders by 15%• Built data visualizations using Tableau for operational key performance indicators that reduced manual reporting by 7 hours weekly• Performed Market basket analysis to understand prospective customers buying behaviour

Goa, India

• Increased production by 7% by identifying areas of improvement, conducting time and motion study in the assembly line• Root cause analysis was performed to identify the reason for longer waiting times and reduced the lead time by 19%, while leveraging value stream mapping to compute non-value add processes and simplify it• Created Tableau visualizations to gain insights on historic trends of seasonal sales for a variety of different vehicles. Modeled a time series forecasting model validating test results with 73% accuracy• Segmented Pro customers based on their purchasing behavior using K-mean clustering to prepare fair marketing strategies

Chennai, Tamil Nadu, India

• Took part in the 2016 FSAE-Australasia competition held in Melbourne, Australia, by building the most powerful (by electric) 80kW motor FSAE car in India• Assisted the Brake department and lead the Presentation department of the FSAE car• Responsible for scoring the 3rd highest points under presentation category

Master Of Science - Ms, Industrial Engineering

Master’s thesis: Re-silence model for Airline Industry Courses undertaken: Linear programming, Stochastic Models, Data analytics &.

Micromaster'S Supply Chain Management

This program consists of 5 courses which cover core aspects of supply chain Sc0x: Supply Chain Analytics Sc1x: Supply Chain Fundamentals.

Bachelor Of Technology - Btech, Mechanical Engineering

Activities and Societies: Dramatics Club and NSS club Relevant courses: Manufacturing Process, Operations Research, Industrial Management.