hello

I'M Fatimah Alamoudi

My name is Fatimah Alamoudi. I am a fresh computer science graduate from Imam Abdulrahman Bin Faisal with first class honors. Passionate about learning new technologies and approving society. Truly believe in the power of technology and how it can be used to make our lives easier and much productive. Worked as a leader of the graduation project titled "Early identification of COVID-19 patients using computational techniques" which I think is one of my major accomplishments as it made me realize so many characteristics in my personality that I didn't think there were available in me and overcome the difficulties that were faced. Also, I was a part of Google developer students club in which I presented a workshop titled "Design responsive web pages using Md-bootstrap".

about me

experience

UI/UX designer intern / Tarakeep

Winning this internship after submitting a UX challenge.

Redesigning the landing page in Figma.

Developing the landing page in webflow.

Full stack developer intern / Heimdall

Developing a branding website using React.

Managing and integrating API.

End-to-end testing using Cypress.

Completing 10 hours online learning and 51 courses in Career Bridge.

Researcher / Imam Abdulrahman Bin Faisal university

Developed machine learning models to predict days to discharge days from ICU and nasal oxygen support according to some readings of COVID-19 patients.

Enhanced the accuracy of the models from 80% to 90%. Assisted in writing the research paper.

Webinar Speaker / Attaa Digital

Prepared a presentation about computer science major to help high school graduates knowing more information. Spoke in a webinar about computer science major.

Google Developer Student Club / Imam Abdulrahman Bin Faisal university

Presented a workshop titled "Design responsive web pages using Md-bootstrap" to 30 people.

Presented a workshop titled "Introduction to UX" to 80 people.

Graduation Project Leader / Imam Abdulrahman Bin Faisal university

Dealt with difficulty due to the complexity of the project and the unavailability of the required data.

Developed a fuzzy inference system for early identification of COVID-19 patients.

Wrote a research paper about the technology used.

Imam Abdulrahman Bin Faisal Tutoring / Imam Abdulrahman Bin Faisal university

Volunteered as a tutor in the knowledge initiative by presenting tutoring sessions for female college students in the subject Logic and Proof Techniques.

Internship/ Postgradaute unit of Imam Abdulrahman Bin Faisal university

Worked on research related to people's awareness toward COVID-19 that was published in Q1 journal.

Developed a website to organize the files of the postgraduate unit.

education

Computer science bachelor degree / Imam Abdulrahman Bin Faisal university

09/2016 – 05/2021 | Dammam, Saudi Arabia

Cumulative 4.890 (on a 5.00 scale)

class honors.

UX design / Google professional certificate

07/2021 – 09/2021

Completed an approximately 214 hours of online learning with 7 courses.

Created a professional UX portfolio that includes 3 end-to-end projects: a mobile app, a responsive website, and a cross-platform experience.

Certificates

SDA Virtual Internship program

Career Bridge Certificate

Google UX Design professional certificate

Front-End Development Libraries Certificate

Data Visualization Certificate

IBM Master the Mainframe Level 2

Full stack development track

Community health volunteering program

LinkedIn learning software developer courses

Qualys Policy Compliance certificate

Qualys Web Application Scanning certificate

Digital marketing: SEO, Online Presence

IAU Excellence Certificates

Misk foundation accomplishment certificate

Entry level Cyber Security Fundamental

my projects

Prediction of days to discharge from ICU and Nasal Oxygen support days

Determine days to discharge days from ICU and nasal oxygen support according to some readings of COVID-19 patients using machine learning techniques.

Early identification of COVID-19 patients using computational techniques

Developing a fuzzy rule-based inference system and a website to be used by medical specialists, patients, and admins using Django framework. Published a research in Q2 journal.

Prediction of ovarian cancer using machine learning techniques

Using different machine learning techniques such as Random Forest, and K-Nearest Neighbor to predict the presence of ovarian cancer.

Diabetes Assistance Expert System

Developing a diabetes expert system to assist both diabetes and non-diabetes using Prolog and Python programming languages.

Kids Teaching Android App

Building an Android app to teach children about colors, shapes, and animals' names.

IAU Postgraduate Unit Website

Developing a website to assist in organizing the files of the students, supervisors, and advisors in the Imam Abdulrahman Bin Faisal Postgraduate unit.

E-Commerce Website

Developing an E-Commerce website as a project for web-based system course.

my portfolio

all

website

my accomplishment

Third Place in Fast-Tech Competition

Solved set of questions for a week.

Mena Champ

Completed the qwiklabs challenge of DSC challenge

Coding Competition

Participated in programming jam coding competition between universities ranked 4 th place in the university and the 17th place in the competition.

CCSIT 7th Annual Coding Marathon

Participated in CCSIT 7th Annual Coding Marathon 2019 and achieving the 4th place.

TopCoders Competition

First place winners in TopCoders 2018 IAU-CCSIT Programming Competition.

COVID-19 Research

7 citations of the research "A Sentiment Analysis Approach to Predict an Individual’s Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia" and 148 reads.