Software Developer React Js

Nikhil Vuppalavanchu

SDE

904-***-**** *******************.********@*****.***

Professional Summary:

Experienced Software Developer, an AWS Developer certified skilled in Java, Selenium and React.js with a solid background in application development using Spring boot. Proven success in implementing REST APIs, and automating testing processes. Adept in Agile methodologies and cloud services including AWS, with a master’s degree in information systems from the University of South Florida.

Skills:

Programming Languages: Java, Python, JavaScript, HTML/CSS, React.js, Algorithms and Data Structures. Frameworks & Tools: Spring Boot, JUnit, Flask, Selenium, PySpark. Database: SQL, MySql, Oracle, Postgres.

Cloud Services & Data Warehousing: AWS, S3, SNS, Glue, EMR, Athena, RedShift, EC2, Lambda, Sage Maker. Version Control & CI/CD: Git, Jenkins, Docker, Kubernetes. Developer Tools: VS Code, Eclipse, Visual Studio, Jupyter Other Tools & Methodologies: REST, SOAP, Airflow, Kafka, Agile Development, Tableau, Spark. Education:

University of South Florida, FL May 2024

Master of Science, Computer Science CGPA: 4.0

Jawaharlal Nehru Technological University, India May 2019 Bachelor of Technology, Computer Science CGPA: 3.9 Work Experience:

Research Assistant, University of South Florida Jan 2024 – Present

• Led Python-based web extracted and data cleansing efforts to gather Business Analytics course data from 350+ US universities.

• Utilized SQL for aggregating and data transformation and integration into AWS, ensuring data accuracy and reliability.

• Designed and developed visually appealing reports and dashboards from AWS, in Tableau, facilitating data-driven decision making for university.

Senior Software Developer, Hexagon AB Dec 2019 – Aug 2022

• Enhanced Java back-end application OnCall Records with Java, SQL, and SpringBoot led requirements gathering sessions, facilitated technical evaluations, and actively supported Agile development (Scrum).

• Developed and maintained 100+ automated test scripts using Java, Selenium, and JUnit4/5, improving test coverage by 50%.

• Integrated Azure DevOps pipelines for CI/CD workflows, streamlining deployment processes and enhancing collaboration across teams, resulting in a 30% reduction in deployment time.

• Streamlined regression testing efforts by automating end-to-end test cases, reducing manual testing time by 40%.

• Partnered with developers to design and implement tailored testing strategies for feature development, enabling efficient troubleshooting and issue resolution.

• Created and executed 500+ test cases and test scripts for API testing using SoapUI, Postman, and SQL queries.

• Optimized SQL queries, reducing database query execution time by 40%.

• Actively participated in knowledge-sharing sessions, contributed to peer code reviews, and provided valuable suggestions to ensure adherence to coding standards and design patterns, contributing to a 20% improvement in code quality.

• Developed and optimized complex SQL queries to validate backend data integrity, ensuring accurate test results and improving query efficiency by 40%.

• Assisted in product design by analyzing 1,000+ test results, identifying 15+ key areas for software improvement.

• Proficiently facilitated Agile development initiatives, overseeing collaborative across cross-functional teams for requirements gathering, development, testing, and followed CI/CD using github approach to deployment into production. Software Analyst, Hexagon AB Jun 2019 – Dec 2019

• Streamlined field feature customization on web pages, significantly reducing customer support requests.

• Automated 80% of the product using Selenium within three months by creating new functional and regression tests, resulting in a significant reduction in manual testing efforts and a 35% improvement in overall product stability.

• Extended around 200 Crystal and SSRS Reports for all modules by analyzing data models and developing supporting queries. Data Engineer, GE Digital Feb 2019 – Jun 2019

• Successfully led migration of on-premises SQL Server data to AWS Redshift, boosting data analytics capabilities.

• Enabled customer access to contextualized data via Rest API and OData, easing UI development on tools PowerBI and Tableau.

Academic Projects:

Customer Churn Prediction Aug 2023 – Dec 2023

• Develop a Machine Learning model to predict telecom customer churn, with a focus on maximizing recall.

• The model, trained on an additional 10,000+ observations, obtained an impressive 96% recall score through hyperparameter tuning with Decision Tree classification.

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