Software Engineer

DIVYA MADHURI REDDY GURRAM

480-***-**** *******@***.*** www.linkedin.com/in/divya-madhuri-reddy-gurram SUMMARY

Software engineer with 2 years experience in different software platforms like payments, banking, loyalty services, etc. EDUCATION

MS in Computer Science Arizona State University, Tempe, USA August 2018- May 2020

(Courses: Data structures and algorithms, Software Verification, Validation & Test, Data visualization) 3.9/4 CGPA B.E in Computer Science Chaitanya Bharathi Institute of Technology, India August 2013 - May 2017

(Courses: Software Engineering, Design & Analysis of Algorithms, Operating Systems, Distributed Databases) 4/4 CGPA TECHNICAL SKILLS

Languages

Web Technologies

Databases

Tools/ IDEs

Certification/MS tools

Operating Systems

- Java, Python, Ruby, SQL, bash, Groovy, C++

- HTML, CSS, JavaScript, Bootstrap, D3.js, JSON, React, Node.js

- MySQL, PostgreSQL, PL/SQL, Oracle

- Docker, Jenkins, GIT, Eclipse, MATLAB, Tortoise SVN, JIRA, Weka, Grafana

- Oracle Certified Professional Java SE 6, MS Office, Visual Studio

- Windows, Linux (Ubuntu, RedHat, Debian, Fedora), Mac EXPERIENCE

Software Engineer Intern at Marqeta, Oakland, California, USA June 2020 – August 2020

• Developed new functionalities for the case management API using RESTful Java

• Worked on improving the code coverage of the code base from 40% to 85%

• Migrated code from Java 8 to Java 11

Technologies: Java, Jacoco, JUnit, Mockito, REST Assured, AWS, RESTful API, SOAP, Spring Boot, Maven, MySQL, Spark, Hibernate SDET Intern at Marqeta, Oakland, California, USA June 2019 – August 2019

• Performed API testing for Restful APIs functionalities and web automation testing (Selenium webDriver) on the web applications

• Improved existing code base/test suites by designing and developing new scalable manual and automated tests (Ruby, Java)

• Set up Continuous integration/continuous deployment (for the microservices) and the required AWS environment in docker containers

• Created Jenkins pipelines and automated the process of running test regressions upon any change in code base Technologies: Java, Rspec, JUnit, Docker, Jenkins, Groovy, GitHub, Advanced Rest Client, slackbot app, wit.ai, Heroku, Prometheus Professional Services Software Engineer at NCR Corporation, Hyderabad, India July 2017 - July 2018

• Developed and maintained web application for retailers to use their customer loyalty services

• Supported user experience by coordinating with team members from various nationalities (Agile framework)

• Performed Unit & DIT Tests on applications and helped maintain them by identifying, analyzing and fixing bugs

• Worked using Jenkins for continuous integration, SVN, RESTful web services Technologies: Java, Python, QTP, Postman, SoapUI, C++, C#, SVN, VirtualBox, ANT, Maven, JMeter, TestNG Intern at JPMorgan Chase & Co. (University Outreach Program), Hyderabad, India Jan 2017 - June 2017

• Worked on a project “Identity Deception Detection”. Identified fraudulent transactions based on predefined attributes to hand le the problem of "split and deposit" of money

• Handled computation over large dataset with 1.5 million records Technologies: Python, Pandas, D3.js, scikit-learn, NumPy, Atom, JSON, XML, Java Summer Intern at CommScope Inc, Hyderabad, India June 2016 - July 2016

• Identified the requirements, designed interactive wireframes for CommScope’s dashboard applications

• Designed and developed the front end for the Employee dashboard application and performed end to end testing. Technologies: HTML, CSS, Bootstrap, JavaScript, PostgreSQL, Visual Studio, AngularJS ACADEMIC PROJECTS

LeadLine: Interactive Visual Analysis of Text Data through Event Identification and Exploration Aug 2018-Nov 2018

• Developed a visual analytics system to automatically identify meaningful events in the news and social media data and support exploration of events

• Performed LDA, Named Entity Recognition and Early Event Detection (CUSUM) on Twitter and CNN News datasets Interactively visualizing the results using River Theme Visualization using D3 Technologies: HTML, CSS, D3.js, tableau, Gephi, Flask, Node.js, Java

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