Leina Abdelwahab

• Developed user interfaces with modern JavaScript frameworks, HTML5 and CSS3.
• Designed and implemented web components across new and existing designs.
• Participated in project development through entire Software Development Lifecycle (SDLC).
• Troubleshot and debugged code ensuring compatibility with devices, browsers, and operating systems.
• Collaborated with project managers, testers, end-users, and distributors.
• Collaborated with product managers, testers, and developers to initiate process improvements.
• Attended corporate learning and development programs to gain competencies and professional skills.
• Studied user requirements and implemented requirements into solutions.
• Analyzed, prioritized and problem-solved several tasks concurrently with minimum supervision.
• Researched and developed new technology designs.
• Assisted with development of software user manuals.
• Maintained quality assurance through code testing and cross-browser testing.
• Studied basic project requirements with assigned technical lead and planned development strategies.
• Utilized scripting languages, content creation tools, management tools, and digital media to design web sites.
• Adhered to best practices for software development methodology and web security.
• Developed testing code for mobile and web-based applications.
• Investigated multiple threading, concurrency, design patterns and resulting impacts on application concurrency to improve procedures.
• Developed code collaboratively with Agile squads to produce multiple projects for clients.
• Supported web applications and web sites through database development.
• Mastered emerging technologies to offer technical direction and creative solutions.

• Completed Coursework:

1- Distributed Computing, 2022

2- Design and Analysis of Algorithms, 2021

3- Object-Oriented Software Engineering, 2022

4- Programming Paradigms: Functional and logic programming, 2020

5- Abstract Data Type and Algorithms: Complexity analysis of data structures, 2019

• 3.3 GPA
• Entrance Scholarship, 2018 from Carleton University.
• Emotion Detection from Tweets & Correlation to Bitcoin Prices Project, the project was mainly focusing on two data sets that were collected by a Ph.D. student that has been collaborating on this project: Data set of Tweets, and Data set of Bitcoin prices. A set of emotions were detected from the data set of Tweets,
  - "Happy"
  - "Angry"
  - "Surprise"
  - "Sad"
  - "Fear"
  Bitcoin prices correlation was executed in this project along with the emotions that have been detected in order to achieve multiple graphs that illustrate the emotion with the highest price volatility. Depicting which emotion was correlated to the Bitcoin price's volatility for a single day that had a high correlation compared to other detected emotions. - Honours Project