I am Shivangi Srivastava

About

Passionate and results-driven Software Engineering graduate student with a focus on developing innovative solutions. Committed to continuous learning and making a positive impact in the world of technology.

About me

Name	Shivangi Srivastava	Date of Birth	06 September 1998
Qualification	M.Eng Software Engineering	College	University of Maryland, College Pakr, MD
Phone Number	+1(240)927-9029	Email Id	shvngsri98@gmail.com
Current Role	Software Developer at Department of Transportation services	City	College Park, MD

I am an avid learner who is highly adaptable to new technologies. My practice area remains on devising Computer Visiom algorithms to automate everyday tasks via a touchless approach.

Languages

Projects

100

Hours Of Code

Awards

Education

Master of Engineering

2022 - 2024

Software Engineering, 3.76GPA

University of Maryland, College Park, MD

Bachelor of Technology

2017 - 2021

Computer Science & Engineering, 73.8%

Women Institute of Technology, Dehradun, India

Experience

Software Developer

Aug 2022 - Present

Department of Transportation Services, UMD - College Park, MD

Developed the real-time bus schedule & routes for the transportation website, integrating API data to provide up-to-date transit information, which helped students efficiently find schedules to specific locations, increasing user interaction by 35%.

Redesigned the Safety & Regulation page using react.js to create responsive, interactive web interfaces that streamline campus vehicle rules, improving user understanding and boosting user interaction by 30%.

Seamlessly integrated the content management system (CMS) for improved content updates and management.

Assistant System Engineer

Oct 2021 – July 2022

Tata Consultancy Services - Pune, India

Designed and automated POS application scenarios utilizing Groovy, JDBC, & SQL, facilitating the automation of key functions like POS Transfer User, Role Modification, User Creation, Password Reset, and User Deactivation. This initiative led to a remarkable 35% decrease in manual effort & a substantial improvement in POS transaction accuracy.

Initiated the conception and execution of pivotal use cases for the Order Flow Management (OMS) application, leveraging Groovy, Bash, JDBC, and SQL. This strategic initiative resulted in a notable 30% decrease in manual intervention and significantly enhanced the efficiency of managing order flows within the system.

Implemented robust automation processes handling approximately 5,000 tickets per month, effectively reducing manual tasks by approximately 250 hours monthly. This achievement not only optimized operational efficiency but also contributed to a remarkable 35% decrease in manual effort, significantly improving overall system performance and accuracy

Involved in Server-side component Installation, Upgradation and Digital Workspace Implementation.

Research Intern

May 2020 – June 2020

Department of Computer Science and Engineering, IIT-BHU - Varanasi, India

Utilized NLP and machine learning techniques for Twitter data extraction and preprocessing, resulting in a 20% increase in sentiment analysis accuracy.

Developed a binary classifier capable of distinguishing disaster and non-disaster tweets with 90% precision, employing tokenization and POS tagging techniques for enhanced data precision.

Implemented word clouds for text visualization and executed polarity-based sentiment classification, resulting in a 25% improvement in sentiment analysis accuracy through advanced comparative data analysis techniques.

Skills

During my college career, I explored various fields as a tech enthusiast, nurturing skills through hackathons and competitions. Specializing in software development, I create user-friendly applications, automate tasks, and build RESTful APIs. Let's innovate together.

C/C++80%

Python90%

JavaScript75%

React75%

Swift85%

Automation 90%

Practice Areas

iOS Development

Working on iOS app for Department of Transportation Services.

Machine Learning

Sentiment Analysis on Disaster Management

Web application

Text analysis and convertor

Responsive Web Design

An online store, your profile or a react based webapp.

Frameworks & Softwares

OpenCV

NumPy

Azure

SwiftUI

Autocad

Creo

Matlab

Linux

Arduino

Trace 32 Lauterbach

AUTOSAR

AEEE Pro

Projects

All
Apps
Data Analytics
Publications

iOS Application

Developed an iOS application for the University of Maryland's Transportation Services website

Machine Learning

Sentiment Analysis on Disaster Management

Publications

Published Manuscripts on IEEE Xplore and IJMPERD Publications.