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$5 USD / hour
Flag of EGYPT
qalyubia, egypt
$5 USD / hour
It's currently 3:43 PM here
Joined May 29, 2014
0 Recommendations

Noura S.

@NouraSaad

5.0 (6 reviews)
3.1
3.1
100%
100%
$5 USD / hour
Flag of EGYPT
qalyubia, egypt
$5 USD / hour
100%
Jobs Completed
78%
On Budget
100%
On Time
N/A
Repeat Hire Rate

Data analyst

I've graduated from Cairo University, specializing in information systems and decision support. I worked for two years as a systems analyst and database designer and handled a lot of data I have a skill in extracting, cleaning, analyzing and visualizing data using python language Have a high skill in handling data analysis using excel

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Portfolio

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Reviews

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Showing 1 - 5 out of 6 reviews
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5.0
$80.00 USD
Great work, faster deliver, nice guider
Data Processing
Excel
Web Scraping
Data Visualization
Data Analysis
User Avatar
Flag of Wan Mohamad Ridhwan B.
@marwans93
•
3 years ago
5.0
$3.00 USD
thank you for your work without problems, fast great communication highly recommend
T
Closed User
@TraPole
•
3 years ago
5.0
$60.00 USD
Excellent talent - I was reluctant seeing the few reviews she had but she was the first to reply with a sample. I had a lot of delay on my part with communication on this project and did not put together some requirements clearly enough and that meant she had to repeat the task 3/4 times to get it exactly right, but with no fuss, she carried out all of it. Highly recommended!!
Web Scraping
Facebook API
Data Scraping
User Avatar
Flag of Fahad H.
@fahadhassen
•
3 years ago
5.0
$150.00 USD
i loved Noura's work, she is excellent in web-scrapping and Python. My request was not easy and lengthy as it needed detailed coding and the deliverable was exactly what I needed. Noura is also very polite and responsive. You will certainly not regret working with her.
XML
Linux
AJAX
Web Scraping
Data Mining
H
Flag of Haya A.
@haltajel
•
3 years ago

Experience

Web and social data Extractor

Al-Qara center
Oct 2020 - Present
- Scrape data form web using python beautiful soap lib. - Scrape twitter data using standard API - Clean and wrangle data using python - Prepare and Visualize data in excel documents

Computer teacher

Al-Azhar
Jan 2017 - Present
As a computer teacher, my responsibilities. - Teach students and learners to use computers. - Planning lessons and activities that facilitate students' acquisition of basic and advanced computer skills. - Instructing in a manner that develops students' confidence in their abilities. - Observing and managing classroom dynamics. - Invigilating and grading projects, quizzes, and examinations. - Tracking and communicating students' advancement throughout the course.

System analyst

It-Blocks
Aug 2008 - Jan 2011 (2 years, 5 months)
During my time as a system analyst , I've been doing : - Elicit requirements using interviews, document analysis, requirements workshops, site visits, - business process descriptions, use cases, scenarios, and business analysis. - Design database schema - work closely with the development team to implement the solution and provide required SQL queries

Education

Bachelor's Computer Science

Cairo University, Egypt 2004 - 2008
(4 years)

Qualifications

Using python to access web data

Coursera
2021
In this course I've learned how treat the Internet as a source of data,scrape, parse, and read web data as well as access data using web APIs.

Data analysis professional Nano Degree

Udacity
2020
I started my first steps in Python data analysis when I joined Udacity nano-Degree program, this program enabled me to achieve deep understanding of data wrangling phases through practical projects with big datasets then documenting the wrangling process and a written report documenting insights and one visualization which has to be written as an external document

Data analysis Advanced Nano Degree

Udacity
2020
Advance programming skills and refine my ability to work with messy, complex datasets. Learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, Learn to use my data skills to tell a story with data: • Introduction to Data Analysis (using NumPy and Pandas). • Practical Statistics (Probability, Hypotheses Testing, and A/B Testing). • Exploratory and Explanatory Data Analysis using python. • Data Wrangling.

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