photo of Deepika at Hoogly river

Hello, I am Deepika Velapure (she/her)
I am a Master's student in the Computer Science department. Previously I worked as a Java Developer for 8 years at Cognizant Technology Solutions, India. During my work experience, I got a lot of opportunities to work on several backend and UI-based projects. I also got the opportunity to work on Glassfish server upgrades and several test automation tools like Katalon and JGiven.

However, being a student from an Electronics background, I did not get much chance to explore the software technologies in depth. Therefore, I decided to pursue Master's in Computer Science at Portland State University. I plan to complete the AI/ML track and learn more about the latest technologies in the computer science field.

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Education

Post-Baccalaureate Student at Portland State University
Major: Computer Science
Courses Completed:
  • Discrete Structures I & II
  • Machine Learning
  • Artificial Intelligence
  • Operating Systems
  • Introduction to Web Development
  • Full-Stack Web Development
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Work Experience

Cognizant Technology Solutions Pvt. Ltd.
  • Senior Associate, Pune, India (August 2019 – November 2021)
    • Worked on DevOps based project which involved requirement gathering, analysis, development and deployment.Developed Spring Boot based microservices which processed the business logic for ReactJS based UI application.Upgraded Glassfish Server and used Katalon tool for developing regression test suites for the application
  • Senior JAVA Developer, Munich, Germany (December 2017 – July 2019)
    • Analyzed business requirements and designed optimistic solutions for the project from transition to steady state phase. Analyzed and developed user stories which involved communicating with external systems using REST and SOAP Webservices, Kafka and RMI calls.Utilized JGiven Framework for testing the application based on BDD approach. Built and deployed the application on the WebLogic server
  • JAVA Developer, Pune, India (February 2014 – November 2017)
    • Applied Core Java concepts for implementing the requirements from the client. Utilized Enterprise Architect Professional Edition tool for creating design and test data for all the requirements. Involved in requirement gathering and created prototype screens in RCP with analysis and estimation
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Course Certificates

  • Oracle Certified Associate Programmer 1 (1Z0-803) (October 2015)
  • Internet of Things (IoT) training (March 2019)
  • German Language Certification (A1) (March 2019)

Projects

Image of the MNIST handwritten dataset used in Machine Learning

Handwritten digit recognition using MNIST dataset

The project was implemented using a two-layer neural network consisting of one hidden-layer with a test accuracy of 94%. The input to this network was the MNIST Dataset containing gray scale values of hand-written digits. The output of this network identifies the class or the digit that the input pixels represent.

Click here to view the project details on GitHub!

Image of the Diabetes Prediction kaggle dataset used in Machine Learning

Diabetes prediction model using Multilayer Perceptron

Diabetes prediction model was implemented using Multilayer Perceptron (MLP) and Gaussian Naïve Bayes classifier. The dataset available at https://www.kaggle.com/datasets/houcembenmansour/predict-diabetes-based-on-diagnostic-measures was used for training and testing the model. The model implemented using MLP has a test accuracy of 87%, while the performance of the model implemented using Gaussian Naïve Bayes classifier was improved after removing the redundant features to a test accuracy of 91%.

Click here to view the project details on GitHub!

Image of the Daily Dairy API

Daily Dairy Full-Stack Application

This is a one stop API for an individual’s daily schedule, latest news, weather information, date and time, along with some fun facts and activities including creative painting, reading, basic dance and cooking videos. It also periodically reminds to drink water and suggests some desk exercises to relax one’s mind and body.

Click here to view the project details on GitHub!

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