Spring Boot Computer Science

MRUGANK JADHAV

San Jose, CA ***** 607-***-**** ********@**********.*** https://www.linkedin.com/in/mrugankjadhav301296 EDUCATION

Binghamton University, SUNY, Watson College of Engineering and Applied Science Binghamton, NY Master of Science in Computer Science Expected August 2024 GPA: 3.54/4.00

Ramrao Adik Institute of Technology Mumbai, Maharashtra Bachelor of Engineering in Computer Engineering May 2018 TECHNICAL SKILLS

Coursework: Programming for Web, Cloud Computing, Design Patterns, Object Oriented Programming, Database Systems Languages: Java, C, C++, Typescript, Python, HTML, CSS, NodeJs, COBOL, SQL, NoSQL Frameworks: Spring Boot, React, Flask, Docker, Kubernetes Software and OS: Windows, Linux, MacOS

Additional: Git, Bluezone z/OS, Postman, Jupyter Notebook, Visual Studio, PyCharm, Eclipse, Pandas, Webpack PROFESSIONAL EXPERIENCE

Global Health Impact Project (Technology: React, Javascript, Spring Boot, JAVA) Binghamton, New York Full Stack Development Intern September 2023-December 2023

• Implemented new RESTful API endpoints using Spring Boot MVC architecture, creating controllers and service methods to efficiently handle HTTP requests and improve application functionality

• Integrated backend APIs with the frontend, enabling display of forecasting analytics reports on webpages using Google Charts

• Revamped and improved the user experience (UX) of the company's website by implementing responsive design principles, resulting in a 20% increase in user engagement

TATA Consultancy Services (Technology: C, COBOL, JCL, SQL) Mumbai, Maharashtra Back-end Development Engineer September 2018-July 2022

• Led Agile-based mainframe project deliveries for a renowned car rental client's Front Office operations

• Collaborated closely with clients to comprehend project requirements, devising structured roadmap, breaking down objectives into manageable JIRA tasks, and constructed an achievable timeline for seamless execution

• Proficient in managing both CICS transactions and batch job processing for mainframe projects with proven effectiveness

• Credit Card Payment Optimization:

o Enabled immediate refunds for Amex and Discover cards by building and authorizing the request and response gateway in COBOL between services and mainframes, resulting in a 30% increase in customer satisfaction o Developed a process using C to block manual authorization of cards through agents in case of transaction failures thereby achieving a 20% reduction in post car check-in processing cost

• Global Data Lake

o Built new COBOL modules for data extraction and import from DB2 tables, enhancing data analysis capabilities. o Resolved data duplication issues by introducing a new layout for database tables, resulting in a 60% increase in efficiency o Built batch jobs in COBOL and JCL to use SQL queries for bulk correction and migration of corrupted DB2 records, thereby resolving P0 incidents

• Split billing on RES:

o Introduced split billing functionality, utilizing C and Cobol, thereby enabling customers to split the bill between multiple credit cards thereby increasing the customer satisfaction by 38% o Improved the accuracy of the credit card masking algorithm by 40% for successful identification and masking of credit card information in data fields

PROJECT EXPERIENCE

Money-Transfer-ATM (Technology: Java) Binghamton, New York https://github.com/mj301296/ATM March 2023-April 2023

• Implementation of the 'State' and 'Factory' design patterns in the context of an ATM machine GUI portal.

• Features include transferring funds from personal accounts to pay off various types of loans, providing users with a comprehensive and intuitive banking experience

Analysis of Spotify Artists and Tracks (Technology: Flask, Python, PostgresSQL) Binghamton, New York https://github.com/mj301296/Analysis-of-Spotify-Artists-and-Tracks August 2023-December 2023

• Developed a scraper to extract data from Reddit and Spotify, collecting information on music-related discussions

• Conducted sentiment analysis on Reddit posts to assess the correlation between online discussions and Spotify popularity

• Performed analysis of song features to identify factors influencing the popularity of tracks, providing insights into the characteristics that contribute to a song's success Weather-App (Technology: Javascript, HTML, CSS, Webpack) Binghamton, New York https://github.com/mj301296/Weather-App June 2023-July 2023

• Developed a responsive weather application leveraging Weather API, providing real-time weather information to users

• Implemented dynamic features such as location-based weather forecasts and interactive user interfaces to enhance user experience and engagement

Instruction Pipeline Simulator (Technology: C) Binghamton, New York https://github.com/mj301296/Out-of-order-Instruction-Pipeline-Simulator August 2022-December 2022

• Developed a C application that allows assembly instruction pipeline processing both in and out of order

• It offers functions including register renaming, data forwarding, static branch prediction, load-store queue, centralized issue queue, and reorder buffer

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