Overview
Work History
Education
Skills
PROJECTS
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Vinay Chandra Makineni

Bloomington,IN

Overview

1
1
year of professional experience

Work History

Intern

Infosys Ltd.
02.2020 - 03.2020
  • Trained on OOP with Python, MySQL, DBMS, HTML, Java Scripts.
  • Built Capstone project using automation and performed web service testing on Capstone Project using Soap and Rest API's on different modules.
  • Handled automation framework using java, selenium, and APIs in real time project.

Software Engineer

Infosys Ltd.
11.2020 - 12.2021
  • Supported existing Database system by adding new features.
  • Utilized testing tools to check enhanced features and tested using Selenium automation and XML Scripts, by which it helps to find errors and bugs in new features by 70% faster.
  • Collaborated with team of 3 members on daily basis, resolved tickets and wrote Unit/Integration tests on same.
  • Facilitated Client team to support them by transferring knowledge about endpoints of APIs.
  • Involved in API Testing using Postman and employed Omni Data Base system to investigate errors.
  • Investigated on quality analysis of new database features, to make sure it doesn't affect entire database.
  • Provided multiple Knowledge Transfers (KTs) to new employees and aided them to bring up to date.

Education

Bachelor of Science - Computer Science

KL University
Andhrapradesh, India
05.2020

Master of Science - Computer Science

Indiana University
Bloomington, Indiana
12.2023

Skills

  • Languages: Python, C, Javascript, HTML, CSS, SQL
  • Databases: SQL Server, MySQL
  • Frameworks: Net, Node Js, React Js
  • Cloud Technologies: Google Cloud Platform, Docker
  • SDE Tools: MATLAB, Git, GitHub, Postman, JIRA

PROJECTS

Analysis of Software Design and Development Using Automation Framework 08/2019 - 11/2019

  • Implemented a classification of data using machine learning techniques by using both defect-prone and non-defect-prone modules to detect software defects.
  • Worked on data processing and accuracy testing through cross validation and visualization using enhanced machine learning techniques.

Home Credit Default Risk 01/2022 - 04/2022

  • Designed a Machine Learning Model that aids in classifying the user's ability to repay his debt. The dataset was extracted from Kaggle.
  • Constructed the base model using Logistic Regression, Decision Tree, Lasso Regressor, Ridge Regressor and Random Forest Classifier on which Hyper-parameter Tuning was implemented in result to improve the accuracy.
  • Augmented a Multi-Layer Perceptron Model and tuned it thereby improving the score metrics with a prominent accuracy of 93.3%.

QwikCar - Car rental management system 09/2022 - 12/2022

  • Designed and developed the Qwikcar using React Js, Firebase as backend, HTML, CSS and JavaScript.
  • Implemented React hooks to handle state management, improved performance, and reduced complexity of code.
  • Experienced in using Material UI for frontend development, resulting in visually appealing and user-friendly interfaces.
  • Utilized React props to pass data between components, resulting in a highly organized and easily maintainable codebase.
  • Utilized Firebase's real-time database and authentication system to create an efficient, scalable and secure car rental management system.
  • Collaborated with 3 team members to integrate new features, resolve bugs and optimize performance, resulting in a high-quality product.
  • Demonstrated strong problem-solving skills and a proactive approach to fixing bugs and resolving technical issues.
  • Actively participated in code reviews, code standards and testing to ensure software quality and maintainability.

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