Jumana Rahman

917-***-**** ad1kfj@r.postjobfree.com github.com/jumana123 linkedin.com/in/jumana2000 EDUCATION Hofstra University Honors College De Matteis School of Engineering 2018 - 2022 Bachelor of Science in Computer Science, Mathematics Minor Concentrations: Web & Mobile Engineering, Networking & Cybersecurity Distinctions: Dean’s List (Fall 2019, Fall 2020, Fall 2021, Spring 2022) GPA : 3.52

Hofstra University De Matteis School of Engineering 2022 - 2023 Master of Science in Computer Science

GPA: 3.51

SKILLS Languages: Python, HTML, CSS, JavaScript, C, C++, Java, Swift, Perl, Ruby, Rust Frameworks & Tools: Svelte, OpenCV, Visual Studio Code, Microsoft SQL Server, XCode, Git, Wireshark, Android Studio, Firebase Database

Operating Systems: Linux (Debian), Mac OS, and Windows EXPERIENCE Hofstra University & Northwell Health June 2021 – Aug 2021 Summer Research Intern

Vision Object Detection Project

Python, Linux, OpenCV

• Researched and developed programs using image processing techniques like OTSU, Contour Based, and Color Space to detect the area of a laceration.

• Developed algorithm tracking and classifying human action in real time video

• Updated autonomous robotic wound closure system with program created to detect the wound area and track human movement in real time

Women in Cybersecurity - Secretary Sept 2021 – May 2022

• Responsible for coordinating club events including guest speaker events. Khan’s Tutorial - Instructor March 2018 – May 2022

• Taught grades K-8 to help prepare for common core state tests for Mathematics and English Language Arts Girls Who Code, Columbia University June 2016 – Dec 2016 AIG: 175 Water Street New York, NY

• Created a web application that teaches the basic concepts of loops, conditionals, and variables. This website was designed to give users a chance to learn how code can produce objects that are incorporated in games PROJECTS CamPark

HTML, CSS, JavaScript, Svelte Framework, Node, Firebase Database

• Acted as a tech lead and developed a web application using the Svelte framework to provide Hofstra students and faculty with an easy view of available parking on the campus

• Verified users using password based and Firebase authentication

• Implemented Google’s JavaScript API and Google Maps API to create an interactive view of available and occupied parking spots allowing users to check-in and out of parking spots

• Utilized the Firebase Firestore Database to store user account and vehicle information TaskApp

• Developed a web application using the Svelte framework for users to record tasks

• Built an iOS app using Swift and the MVC design pattern that allows users to record tasks on a mobile device

Study on Hotel Bookings

Python, Matplotlib, NumPy, Pandas, SciPy, Sklearn

• Conducted exploratory data analysis on a dataset to find relationships and recognize patterns

• Utilized statistical models such as the Gaussian Naïve Bayes model and Linear Regression models with multiple variables to predict a customer's choice of city or resort hotel given information about the country and time of year