Business Analyst Java J2ee

PRIYANKA VAIDYA

669-***-**** ******************@*****.*** www.linkedin.com/in/priyanka-vaidya San Jose,CA EDUCATION

Masters in Computer Engineering: San Jose State University, CA May 2023 Related Courses : Data Structures & Algorithms, System Software, Software Quality Assurance & Testing Bachelors of Engineering in Information Technology: University of Mumbai, India July 2019 Related Courses : Database Management Systems, Data Mining & Business Intelligence, Object Oriented Programming Methodology.

TECHNICAL SKILLS

• Programming Languages: Java, Python, C++

• Databases: MySQL, MongoDB

• Web Technologies: Java Spring MVC & SpringBoot, Node, ExpressJS, Redis Cache, RESTAPIs, Hibernate

• Cloud: Amazon Web Services(AWS) EC2, Heroku, Docker

• Tools/Systems: Mac OS, Windows, Unix/Linux, GitHub, Xcode IDE, Eclipse IDE PROFESSIONAL EXPERIENCE

Software Developer, Taazaa Tech Private Limited, India Nov 2019 - July 2020

• Worked as a Backend developer & drove various enterprise software projects & computing infrastructure projects for customers of Taazaa.

• Built scalable REST API based services to improve online experience for the users using microservices architecture & Domain Driven Development.

• Created highly scalable APIs for CRUD functionalities as well as Notification services using JAVA SpringBoot MVC Framework with MySQL database for various Enterprise Client projects.

• Also build continuous integration pipeline & JUnit testing frameworks for automating the artifactory creation process & to speed up deployments.

• Participated in software engineering full cycle agile lifecycle using biweekly sprints & SCRUM meetings, design brainstorming & code reviews.

• Worked on refactoring around 50+ packages for improving code maintainability for future designs & functionality planning.

Business Analyst, Axis Bank, India July 2019 – Oct 2019

• Assisted my team in the development of the project FEBA which is a Finacle E-banking application which enables the customers to carry out certain banking transactions on 24/7 basis.

• Translated the internet banking business requirements into high-level design specifications & interacted with vendors of more than 10 departments to understand software limitations in preparing Business Requirement Documents thus helping in cutting down the paperwork by 70 percent.

• Identified & resolved customer queries in Eclipse IDE performing system analysis & also conducted the production & deployment of the softwares required with 85 percent efficiency. ACADEMIC PROJECTS & PAPERS

Starbucks Mock Console Application Java, Gradle

• Developed console application using JAVA J2EE to simulate Starbucks’ mock mobile app by implementing GOF Design patterns.

• Focused on code quality & clean code using design patterns viz. Observer,Command & state design patterns.

• Used Gradle & performed extensive JUnit Testing. Prototype of Quora MERN Stack

• Developed replica of Quora, a highly scalable & distributed system using NodeJS, RESTAPIs & AWS EC2.

• Created various CRUD APIs for demoing basic Q& A forum experience like Quora.

• Improved the performance of the application by using in-memory cache & ensured high availability by implementing elastic load balancers to respond to 10000 queries/sec.

• Key Technologies: NodeJS, MongoDB, Redis, AWS EC2, Load Balancer. Cart Pool Application JAVA

• Developed an application in Java that allows users to buy groceries online & pool deliveries. It is a combina- tion of Instacart & Waze where users can create a group & buy groceries online. Members take turns to get their own groceries along with groceries of other members of the group.

• Used CDN caching for improved rendering of response pages using Amazon S3 bucket for storing images.

• Implemented 50+ REST APIs for CRUD operations on stores, products, groups, & orders using Spring boot.

• Deployed an application to AWS EC2 instances using docker, distributed network load using application load balancer, allocated computational resources dynamically using auto scaling group.

• Key Technologies: Spring Boot, Docker, Jenkins, EC2, AWS S3 bucket,Git-hub, Docker-hub. Music Personalization & Recommendation System for Virtual Assistants/Mobile Applications

• Built a music recommendation system using sentiment analysis & hybrid collaborative filtering & content-based filtering approaches & accomplished over 88 percent accuracy.

• Won the 1st Prize in Inter-college Project Competition at University level.

• Technologies used: Python, Numpy, Jupyter Notebook, Pycharm IDE, Tensorflow, Sklearn, OpenCV. Mood & Emotion Recognition: A Survey

Co-authored & published a paper on Mood & Emotion Recognition : A Survey in the International Journal of Emerging Technologies & Innovative Research (JETIR) which is a UGC & ISSN approved Journal ISSN Number: 2349-5162.

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