Master's Degree

Rutgers University-New Brunswick

2022-2024 (Expected)

Coursework:

Fall 22 courses:
1. CS 512: Introduction to Data Structures and Algorithms
2. CS 501: Mathematical Foundations of Data Science
3. CS 520: Introduction To Artificial Intelligence

Spring 23 courses:
4. CS 527: Database Systems for Data Science
5. CS 536: Machine Learning
6. CS 550: Massive Data Mining

Fall 23 courses:
7. CS 539: Database Management System
8. ECE 516: Cloud Computing and Big Data
9. ECE 567: Software Engineering

Spring 24 courses:
10. IE 551: Adv Topics: Statistics for Machine Learning
11. CS 580: Topics In Computers In Biomedicine
12. MI 560: Foundations of Data Science

Grade: 3.83/4

Bachelor's Degree

KJ Somaiya College of Engineering-Mumbai University

2018-2022

Grade: 8.4/10

Relevant Coursework:

• Software Engineering & Project Management

• Data Structure

• Operating System(OS)

• Computer Network

• Database Management System(DBMS)

• Data Science, Machine Learning

• Java (Object Oriented Programming Methodology) , Python

• Android Application Development

• Web Development

• Analysis of Algorithm

• Computer Architecture and Organization

Education

Throughout my professional stint, I have had the opportunity to gain valuable work experience by working with various tech stacks and in dynamic team environments. Each of these experiences has contributed to my growth and development in different ways.

Experience

Scarlet Computing Solutions, LLC

May 2023 - June 2023

Cloud Counselage Pvt. Ltd.

March 2020 - Dec 2020

Software Engineering Intern

New Brunswick, NJ

• Developed a transcript upload function with a cropping feature in JavaScript and an OCR model for data extraction utilizing Microsoft Azure DevOps, Git for version control, CI/CD, and Visual Studio for software development

• Revamped the SRAR(Self-Reported Academic Record) portal for 35,000 high schools in the US, achieving a 90% reduction in time spent on manual data entry while also building a user-friendly UI for editing tabular data

• Conducted a Proof of Concept (POC) using the Microsoft AI Builder RPA tool to streamline data extraction

• Deployed and trained a text classification model with 98% accuracy on Hugging Face to manipulate OCR output

• Facilitated integration of the OCR ML model with front-end in ASP.NET and Amazon S3 storage in the backend

Python Developer Intern

• Engineered an intuitive data management system, reducing data analysis time by 40% for Sunville Properties using a substantial property dataset spanning 2017-2020 with over 1,200 entries in the MySQL database

• Devised a filtering mechanism accomplishing a 20% improvement in order tracking accuracy for property sales

• Crafted a Python web-scraping program harnessing Beautiful Soup to build an automated application system for ~1000 universities following Agile Software methodology, increasing efficiency by 60%

• Managed and maintained project documentation (design, logs, charters, RAID registers) to ensure transparent and coordinated project progress, resulting in a 15% reduction in project delays and improved adherence to timelines

Mumbai, India

Mumbai, India

Trivia Softwares

Java Developer Intern

Jan 2021 – May 2021

• Architected a Student Record Keeping software collaborating with cross-functional teams, leveraging Swings to develop a GUI along with validations for input masks, range checks, and pattern matching

• Employed Hibernate Framework for interaction between the application and Oracle Database to perform CRUD operations

• Harnessed Hibernate’ s Object-Relational Mapping (ORM) capabilities to achieve 25% faster information retrieval

Projects

• End-to-end data pipeline project on AWS.

• This project leverages AWS services, including S3, Glue, Athena, and QuickSight, to conduct a comprehensive analysis of historical stock data for 'FANGMANT' companies, unveiling market behaviors during economic uncertainties.

• Additionally, it employs Kafka, S3, and EC2 to simulate real-time stock market conditions, showcasing AWS's adaptability in handling dynamic, high-volume data streams.

• AWS: S3, Glue ETL, Athena, QuickSight, EC2, Apache Kafka

Buy Me Auction Website (ebay Clone)

• Full-stack Java web app similar to eBay where users can bid/sell items, ask questions to customer representatives, set alerts on their favorite items, view the history of bidding on an item, and much more!

• Java, JDBC, Java Server Pages(JSP), JavaScript, MySQL, HTML, Tomcat(server)

RecBooks Mobile App - Find your next read

• Developed a cross-platform reading app using Flutter, integrating Firebase for user profiles and authentication.

• Implemented advanced features such as barcode scanning, book liking, and personalized recommendations using Google Colab for data analysis.

• Streamlined book discovery with advanced filters, user profiles, and a comprehensive recommendation system, enhancing the overall reading experience.

• Recommender Systems, Android Development, Git, Flutter, Dart, Content based filtering recommendation, Firebase

Library Management System using Spring Boot

• The main objective of this project is to manage the details of the books, author, category and publisher. Only admin or the librarian will manage all these activities. Also they can export the data in CSV file format.

• Admin has the permission to add, update, view and delete books, authors, publishers and categories.

• H2 database is used for all these things. And Thymeleaf template engine is used to build a responsive and dynamic display on the website.

• Java, CRUD, Software Architecture, Spring Boot, Spring MVC, H2

SnapView using React.js

• This is an image gallery web application created with React.js, designed to efficiently fetch and display images using the Flickr API. Furthermore, the application has been optimized by containerizing it with Docker and deploying it on AWS ECS, ensuring its scalability and availability.

• React.js, Docker, Amazon Web Services (AWS), Cloud Computing, Web Development, Front-End Development, Containerization

Web Application for Music Genre Classification (Publication)

• A Python based Django web application

• Used ML algorithms (KNN, SVM, Neural Network), saving 20 hrs/week in manual categorization

• Executed Machine Learning techniques to obtain a 73.2% accurate genre classifier for 10 popular genres

• Python, Django, Machine Leaning, Librosa (python package for audio analysis), Keras, SVM, KNN

Professional Certifications