Shruti Agrawal Email & Phone Number

Enhancing Associate experience: Me@Walmart

Seattle, Washington, United States

Amazon Lex Team - building conversational AI

Operating Systems, Data Structures and Algorithms Computer Science IIntroduction to Computer Science and Software EngineeringAutomata Theory

Chennai Area, India

Devised and implemented a project plan to increase customer retention through creation of a Natural Language Processing based module to convert user questions on the client organization’s manufacturing data to Multidimensional Expression queries (MDX). POS tagging and Naïve Bayes classifier was utilized

Hyderabad Area, India

• Collaborated with various teams to complete configuration of Customer Service channels Amazon Go, Prime Video and Amazon Logistics launches among others.• Conducted stability meetings to assess high priority issues and sent weekly meeting and progress reports to relevant development teams.• Gathered statistics for various teams in the Customer Service Technology department and led the project to drive Engineering Excellence through creation of an automated report generation tool aimed at capturing and tracking monthly statistics on operational load..• Acted as Point of Contact for How’s My Driving Survey Tool related issues and development tasks.• Monitored problem areas and streamlined processes to reduce trouble tickets through development of design documents, user guides, maintenance documents, project documentation, and release documents.• Worked on migration of Shipment ID search service from Perl to Java.

New Delhi Area, India

Was part of the team involved in Mahindra Tech Rise: Driverless-Car Competition, Responsible for the Computer Vision and Machine Learning modules of the car:• Used C++ with OpenCV libraries to create computer vision modules for Mahindra Rise Driverless Car Challenge. Implemented model for Traffic Sign Detection and Recognition using Maximally Stable Extremal Regions that detects blobs of connected components in the image and uses two models of Multi-Layer Perceptron, for recognising the shape of the sign and identifying the instruction on it. Used Histogram of Oriented Gradients as feature vectors for training the classifiers. Accuracy: 98.9%• Implemented model for Traffic Light Detection and Recognition using properties of image colour spaces, scene estimation and Support Vector Machine classifier for refining results. Accuracy: 97%

Master Of Science - Ms, Computer Science

Fall '18 Student pursuing the Intelligent Systems Track • Created Module for Airbus Ship Detection Challenge using Kaggle dataset. Used.

Bachelor Of Technology (Btech), Computer Engineering

Activities and Societies: • Design Team for REVERB, the cultural fest of Symbiosis Institute of Technology 2013 and 2014 • Welfare Club.

Diploma, Business Manag

Completed a Diploma in Business Management with the following courses: *Business Accounting and Costing *Basics of Economics *Business.