Nadine Farag

Curriculum Vitae

PERSONAL DETAILS

Birth May 5, 1995

Address Building N.13,Hadeket El Golf St,Piece N.9141,Postal Code:1175,Egypt Mail adb8pk@r.postjobfree.com

Telephone +20-015*-**-**-***

Nationality Egyptian

Domicile Cairo, Al Mokattam City

EDUCATION

B.SC Faculty of Informatics Computer Science 2013-2017 The British University in Egypt, Loughborough University UK CGPA

3.75/4.00

Pre-Masters Certi cation 2010-2013

The British University in Egypt

81%

High School Certi cate 2007-2010

The Egyptian Language School

WORK EXPERIENCE

Graduate Teaching Assistant 2017-2019

The British University in Egypt

I worked as a Graduate Teaching Assistant, I used to support in Exam Invigilations, Teaching in Tutorials Labs, Marking Exams & Mid-Term Assessments. I work to assist my Module Leaders. I taught Introduction to Database Systems, Introduction to Java Programming and File Organizations, Introduction to Data Organizations, Introduction to Data Structures, Entreneurship and Innovation, Management Information Systems & Operating Systems Intern 2019

Virtual Internships

I have been accepted to work as a virtual intern at a UK based company called Virtual Internships where the internship is fully carried out online. I am learning more about the market needs and industry which makes me not only entitled to acaddmic experience. I’m currently using Microsoft Azure to predict stock market changes. Research Assistant 2019-2020

The British University in Egypt

I am currently working at the Computer Science Research Center: Advanced Informatics & Business Intelligence Department. I’m concerned with collaborations with research agencies like ASRT and STDF to submit research project proposals. SKILLS KNOWLEDGE

Languages English(Fluent), Arabic(Mother-Tongue) and French (Intermediate) Skills Research, Programming, Data Mining & Data Analysis, Python, C++, Machine Learning, Arti cial Intelligence, Deep Learning Research

I recently published three papers:

1. Predicting the Survivors of the Titanic, Kaggle, Machine Learning from Disaster 2. Towards Natural Disasters Detection from Twitter Using Topic Modelling 3. Bullying Hurts: A Survey on Non-Supervised Techniques for Cyber-bullying De- tection

Link to my ResearchGate Pro le:

https://www.researchgate.net/profile/Nadine_Farag/research Additional

skills

Python, C++, SQL

REFERENCES

Will be provided on demand.

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