Mihir Jasmin Rathod

Harrison, NJ ***** 551-***-**** adhe9t@r.postjobfree.com

LinkedIn: http://linkedin.com/in/mihirjasminrathod GitHub: github.com/mihirjasminrathod EDUCATION

Rutgers University- The State University of New Jersey M.S in Information Technology & Analytics, Rutgers Business School, NJ (3.74/4.0) Dec 2020 Relevant Coursework: Business Data Management, Analytics Business Intelligence, Data Analysis and Decision Making, Introduction to Algorithms and Data Structures, Data Analysis & Visualization, Statistics & Machine Learning, Business Analytics Programming.

University of Mumbai, India

B.E in Computer Engineering (3.4/4.0) May 2019

Relevant Coursework: Artificial Intelligence, Software Engineering, Data Structures, Soft Computing, Machine Learning TECHNICAL SKILLS

Languages: Python, R, C, C#, Java, JavaScript, SQL, HTML5, CSS3, PHP, Node.js Databases and Libraries: MySQL, MongoDB, PostgreSQL, Google Firebase, React, Pandas, NumPy, Keras, Material UI Data Analytics Tools: Tableau, Excel, PowerBI

Frameworks: Bootstrap, Express.js, Vue.js, Angular.js, React Native APIs/Web services/Tools: Redux, REST, AJAX, PyCharm, Anaconda, R Studio, Eclipse, Version Control (Git) PROFESSIONAL EXPERIENCE

Stack Developer Intern June 2020 – August 2020

Walkspan, Inc.

• Worked on open source data collection and mapping of sidewalks in major cities in the US. This data will be used for navigation, real estate and health apps/APIs.

• Created a prototype for object detection on the sidewalks of New York using Python, Darknet, TensorFlow, OpenCV and Keras.

• Assisted in developing machine learning algorithm for assessing sidewalk quality. Database Developer Intern June 2020 – August 2020

TWG Companies

• Database Developer and lead a team of 5 interns to manage the database for PickBoxx application.

• Documented, designed and developed schema, created data models for the Database team.

• Made use of NoSQL database (MongoDB) as per project requirement for processing of different types and formats of data such as images, videos, etc. Used AWS S3 for processing and storing images and videos.

• Used Mongo Atlas as its cloud storing platform and Mongo Realm for connection with external applications. Performed aggregations and created pipelines in the database. PROJECTS

Gesture Recognition for Especially Abled

• Focused on the recognition of the static sign language gestures and deep learning approach to recognize 24 alphabets and 0-9 numbers.

• Created a convolutional neural network classifier that can recognize static sign language gestures with high accuracy. The result shows that accuracy improves as we include more data from different subjects during training. Also created a simple Java GUI application to test our classifier. Data Analysis on finding cheaper player alternatives on FIFA 20

• Extracting individual teams’ info and accordingly extracting player's info and assigning variables to the player's wage, position, rating and age and also achieved list of players that meet different criteria (e.g. cheaper players to buy).

• Created an argument function called 'skillReduction' which filters out players that are rated lower or higher from the dataset.

WhatsApp Clone using React.js and Google Firebase

• Powered by using React and Google Firebase Firestore as real-time database and designed by using Material UI.

• Provided a different approach to WhatsApp sign-in by using Google Authentication and gave access to different values to users using React Context API and performed page routing for better navigation without refreshing.

• Added PWA functionality along with mobile responsiveness and deployed the application online using Google Firebase. Amazon Price Tracker Using Python

• Automated the procedure of self-running the browser and self-searching our items on Amazon by using Selenium Python

• Scraped data of the items based on the price range selected and stored the links and information of each product in the memory and created reports (.json) which included all the information of the products. Pandemic Spread (China to World) and its Effect on Business and Public sectors

• Worked on the data which talks about the COVID-19 spread throughout the world by creating Tableau dashboards.