Java,c++,javascript,HTML,CSS,Angular, spring,spring boot,junior

PUSHPAPENUMATSA

+1-417-***-**** Springfield, MO

**************@*****.*** linkedin.com/in/penumatsa-pushpa OBJECTIVE

A highly motivated and skilled Full Stack Software Developer with expertise in Java, spring, MongoDB, Angular, Spring Boot, and MySQL. Experienced in modifying and maintaining large-scale software applications, developing solutions for online banking applications and proficient in a variety of IT projects. EDUCATION

Missouri State University, MO,USA

May

2024

Master of Science in Computer Science and Data Science. Shri Vishnu Engineering College for Women, India

Bachelor of Technology (Computer Science) —— GPA: 8.84/10 SKILLS

2017 -

2021

Technical Skills Java, C++, JavaScript, HTML, CSS, Bootstrap. Database SQL, MySQL, Oracle.

Frameworks Spring, Spring boot, JUnit, Mockito, Spring MVC, Angular Tools Eclipse, IntelliJ IDEA, Git

Methodologies

EXPERIENCE

Agile, Scrum

Associate Software Engineer Aug 2021 - Dec 2022

CGI Hyderabad, TS

• Modified and maintained software applications with large scope, ensuring optimal functionality and performance.

• Collaborated with teams to analyse and design IT projects, developing solutions online banking applications.

• Utilized Rest and Soap API services, managed oracle and MySQL databases, and customized Angular applications.

• Developed and supported APIs for multiple products, optimizing data archives and implementing solutions in API/Java/Spring Boot BE SQL database side.

• Contributed to agile methodologies, participated in daily stand-ups, and supported the team in various projects.

• Conducted software testing and quality assurance to ensure high-quality deliverables. PROJECTS

AI Enabled Weed Recognition —Internship

• As the project lead, I conceptualized and executed a groundbreaking initiative to develop an AI-powered weed recognition system utilizing Convolutional Neural Networks (CNN).

• The primary objective was to revolutionize weed management in agriculture by accurately identifying and classifying various weed species from images captured in agricultural fields. Satellite Image Classification Using Convolutional Neural Network —Final Project.

• As part of a team project, I spearheaded the development and implementation of a satellite image classification system utilizing Convolutional Neural Networks (CNN).

• The primary goal was to accurately classify a vast collection of satellite images, enabling effective analysis and interpretation of geographical data.

Wine Quality Prediction—Mini Project.

• In this project, I led the development and implementation of a predictive model for assessing the quality of wine based on various physicochemical properties.

• Using multilinear regression, the primary objective was to accurately predict wine quality scores utilizing a dataset containing features such as acidity levels, alcohol content, density, and ph. CERTIFICATES

• Web Development by IIM-Bangalore

• Machine Learning by Smart Internz

• Machine Learning with Data science

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