DHAIRYA PATEL

github.com/Dhairya*** ® linkedin.com/in/dhairya-patel-0431b2127 R adtmxt@r.postjobfree.com

University of Maryland Baltimore County, Baltimore, MD, 21250 Ó667-***-**** EDUCATION

University of Maryland, Baltimore County (UMBC) January 2021 - Present Graduate coursework: Design and Analysis of Algorithms, Information Retrieval, Malware Analysis, Computer Security, Ser- vice Oriented Computing, Social and Crowd Computing Master’s in Computer Science

GPA: 3.82/4.0

L.J. Institute of Engineering and Technology August 2016 - June 2020 Bachelor of Engineering in Computer Engineering

GPA: 3.7/4.0

SKILLS

Programming: JAVA, Python, Node.js, C++

Frontend Designing: React.js, jQuery, HTML, CSS, Bootstrap, Software & Tools: Anaconda, PyCharm, Jupyter notebook, Sublime, Visual Studio Code, Atom Databases: MySQL, MongoDB

Soft Skills: Problem solving, Teamwork, Effective communication WORK EXPERIENCE

UMBC, Graduate Teaching Assistant, Design and Analysis of Algorithms January 2022 - Present

• Assessing 40+ weekly assignments, quizzes, and providing feedback to students during 2 hours of office time every week

• Assisting in answering students’ doubts, enabling the professor to complete 96% of coursework all the time Softvan Private Limited, Project Intern, Ahmedabad, India June 2019 - June 2020

• Responsible in designing UI web pages using technologies like HTML, CSS3, JavaScript, React JS, Redux which improved customer satisfaction by 40%

• Implemented Neural Networks algorithms like CNN, and trained a detection model with 93% precision using TensorFlow framework, and Python libraries like NumPy, SciPy, Matplotlib, Pandas and Scikit-learn

• Developed and executed MySQL database Queries from Python using Python-MySQL connector and handled database access and data transmission based on Restful web service

• Managed to develop backend application using Python, Django framework and integrated trained models with UI

• Devised a structure using OpenCV with 95% accuracy that can record attendance of clients’ employees by face recognition

• Designed a platform for construction site project that uses trained models for real-time analysis through surveillance cam- eras and detect workers’ safety equipment (helmets)

• Programmed a mechanism using SMTP protocol that send emails of warning signals for those not wearing helmets PROJECTS

E-commerce shopping website HTML, CSS, JavaScript, Google and MailGunAPI, MongoDB, MERN Stack

• Designed UI web pages using HTML, CSS3, React with an implementation of a payment gateway using PayPal-API

• Created scalable backend using Node.js, Express and used Mongoose to model and establish relationships within data

• Programmed authentication of users and HTTP requests using JWT and used bcrypt.js to encrpyt passwords in the database

• Included features where customers can get varied number of choices on clothes, footwear, purses and perfumes

• Implemented a chat interface using socket.io for solving problems of customers and get their feedback

• Used Mailgun API to send emails for creating, paying and delivering orders, and reset passwords Netflix-Clone web app React.js, Firebase (Firestore/auth), Compound and Styled components

• Deployed a Netflix clone web application with Firebase hosting having home, browse, signin and signup pages

• Redesigned browse page to allow user to browse trailer/preview of Netflix Originals’ movies/series without subscribing

• Restructured browse page to allow users to buy/rent movies or series for short period of time without subscription

• Extensively used React JS components, Forms, Events, Props, Router, Hooks and also implemented user authentication Evaluation of market sentiment on social media VADER, SVM, Naive-Bayes classifiers

• Built VADER based Sentimental Analysis model, with accuracy of 95% using r/WallStreetBets subreddit posts

• Extracted Jargons from posts having stock trading context and collected stock symbols to analyse stock prices

• Mapped those Jargons with common words and calculated the sentiment score by extending the use of VADER

• Constructed a new market-based sentiment lexicon using Naive-Bayes classifier and compared the original VADER lexicon with the fabricated one to differentiate two means of sentiment analysis E-commerce portal for blood-bank Python-Flask, JavaScript, BootStrap, HTML, CSS, MySQL

• Designed a layout for Red Cross where users can register to donate/request blood and check status as pending/approved

• Handled data using CRUD operations of MySQL to implement features like edit/add donation details & contact/delete users

• Created MVC architecture in Flask-framework to integrate SQL queries with web pages coded in HTML, CSS and JavaScript

• Used SMTP protocol for sending emails to customers about the availability of blood groups and password resets

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