Punit Mashruwala

**** ** **, *** *, Charlotte, NC, 28262 425-***-****

adkcj4@r.postjobfree.com www.linkedin.com/in/punitMashruwala https://github.com/punitMashruwala Education

University of North Carolina at Charlotte, Charlotte, NC Sep 2020 - Present Master of Science in Computer Science, GPA 4/4

University of Mumbai, Mumbai, India Aug 2014 - May 2017 Bachelor of Technology in Information Technology, GPA: 8.28/10 (Graduated in top 20% of the class) Technical Skills

Programming / Scripting language: Node JS, AngularJS, Spring Boot, JavaScript, Python, Java, C, HTML Big Data: Pandas, NumPy, Scikit-learn, Matplotlib

Databases: MongoDB, MySQL

Version Control: Git Hub, Bit Bucket

Other tools and technologies: Kafka, Redis, Swagger, Jira, Confluence, Visual Studio Code, IntelliJ Relevant Course Work

Big Data, Knowledge Discovery in Database, Data Structure and Algorithm, Mobile Application Development, Computer Network, Intelligent System

Work Experience

Capiot PVT Software LTD, Mumbai, India Jun 2017 - Aug 2020 Associate Consultant

• Created an ERP system for Inventory Management to address the issues of silos and isolate business data

• Developed backend API’s using NodeJS to simplify searching home renting and online booking

• Enhanced existing backend API’s which was used by Retail App and increased the response time almost by 20%

• Used Swagger for API documentation and JSON Data was stored and retrieved from MongoDB

• Experience working with online collaboration tools like Jira and version control system like GIT and Bitbucket

• Had refactor some NPM packages and had built few reusable code and packages for future use

• Worked in Agile Scrum Team and had worked with Client Stakeholders to develop application for business Projects

Analysis of measures taken to control the spread of Covid-19 virus Nov 2020 – Dec 2020

• Data Pre-Processing and Data Cleaning using Sklearn, Numpy and Pandas

• Exploratory data analysis with the help of Matplotlib and Seaborn Libraries

• Linear Regression Model and SVR model used for predicting the future cases and appropriate measures Humor and Offense Detection and Rating Sep 2020 – Dec 2020

• Had 8000 records in Training Dataset and 1000 records in Test Dataset for this project

• Logistics Regression and Random Forrest Regression is used to build model with the help of k-fold

• Accuracy of 83.5% was achieved on model with Neural network (Keras layers) and word embedding layer

• Used COLBERT model and Transformer library on test dataset and accuracy with this model was 86.3% RFID based Automated Toll Collection System Aug 2016 - May 2017

• Designed a software to collect toll from the public using RFID tag and reader, Arduino, WIFI Module

• Implemented Email Notification System using Amazon Simple Email Service (SES)

• Developed a bookkeeping application for toll collectors to keep track of toll collection

• Received a grant of 25,000 INR from Mumbai University acknowledging the research Online National Polling Aug 2013 - May 2014

• Developed a web application to conduct online polls during elections to enable seamless voting under threat

• Implemented functionality for different user roles using JSP, CSS, JavaScript, IBM's Web-sphere

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