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$2 USD / hour
Flag of EGYPT
kafr el dawwar, egypt
$2 USD / hour
It's currently 9:52 PM here
Joined October 3, 2020
1 Recommendation

Abdelaziz N.

@Abdelaziz2352000

4.9 (13 reviews)
3.8
3.8
$2 USD / hour
Flag of EGYPT
kafr el dawwar, egypt
$2 USD / hour
94%
Jobs Completed
100%
On Budget
93%
On Time
5%
Repeat Hire Rate

Data Analyst

Software Engineering student from Egypt. 2+ years in Web Scraping projects. I'll bring you clever, creative, fresh, and simple software solutions for your problems and needs. I'm enthusiastic, liable, and self-demanding. End-to-end web scraping solutions. What services can I offer you? ✅ Data Entry ✅ Web Scraping ✅ Data Analytics ✅ SQL Database Processing ✅ Python ✅ Excel / CSV / XML / JSON Processing ✅Web Search ✅Yellow page Data Collection ✅data cleaning ✅Data Collection ✅Collect Data from other Website and put into Excel ✅Web Research ✅Web Search ✅Lead Generation ✅Any Directory Website scraping ✅Email Collection ✅Copy & paste ✅E-mail scraping My spiders are ready! Just contact me to start. ✅ LinkedIn Account: [login to view URL]
Freelancer Web Scraping Specialists Egypt

Contact Abdelaziz N. about your job

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Portfolio Items

Get self-service analytics at enterprise scale
Reduce the added cost, complexity, and security risks of multiple solutions with an analytics platform that scales from individuals to the organization as a whole.

Use smart tools for strong results
Find and share meaningful insights with hundreds of data visualizations, built-in AI capabilities, tight Excel integration, and pre-built and custom data connectors.

Help protect your analytics data
Keep your data secure with industry-leading data security capabilities including sensitivity labeling, end-to-end encryption, and real-time access monitoring.
power pi
Hello,
I am a Data Entry Expert.
I have good experience working with Data Entry:
•	Research
•	Market Research
•	Python. 
•	SQL.
•	creating business reports and Dashboards.
•	Excel / CSV / XML / JSON Processing

I will use some Tools and Different search Engines for your project like:
•	Google.
•	Bing.
•	Yahoo
•	Ask
•	Aol
•	Ecosia

Regards,
Abdelaziz.
Web search for Emails In different search Engines
Hello,
I am a Data Entry Expert.
I have good experience working with Data Entry:
•	Research
•	Market Research
•	Python. 
•	SQL.
•	creating business reports and Dashboards.
•	Excel / CSV / XML / JSON Processing

I will use some Tools and Different search Engines for your project like:
•	Google.
•	Bing.
•	Yahoo
•	Ask
•	Aol
•	Ecosia

Regards,
Abdelaziz.
Web search for Emails In different search Engines
Table of Contents
Introduction
Data Wrangling
Exploratory Data Analysis
Conclusions
Introduction
To complete my Data Analysis project I am using TMDb movies dataset.

This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.

Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters.
There are some odd characters in the ‘cast’ column.
The final two columns ending with “_adj” show the budget and revenue of the associated movie in terms of 2010 dollars, accounting for inflation over time.
From this dataset we could try to solve many different questions such as :
Is there an improvement in the quality of movies from year to year?

What kinds of properties are associated with movies that have high revenues?

Is the number of movies increase from year to year?

Is there a relation between a movie runtime and the vote average?

Who are the top 5 directors according to high rev
TMDb movie data analysis
Table of Contents
Introduction
Data Wrangling
Exploratory Data Analysis
Conclusions
Introduction
To complete my Data Analysis project I am using TMDb movies dataset.

This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.

Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters.
There are some odd characters in the ‘cast’ column.
The final two columns ending with “_adj” show the budget and revenue of the associated movie in terms of 2010 dollars, accounting for inflation over time.
From this dataset we could try to solve many different questions such as :
Is there an improvement in the quality of movies from year to year?

What kinds of properties are associated with movies that have high revenues?

Is the number of movies increase from year to year?

Is there a relation between a movie runtime and the vote average?

Who are the top 5 directors according to high rev
TMDb movie data analysis
Table of Contents
Introduction
Data Wrangling
Exploratory Data Analysis
Conclusions
Introduction
To complete my Data Analysis project I am using TMDb movies dataset.

This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.

Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters.
There are some odd characters in the ‘cast’ column.
The final two columns ending with “_adj” show the budget and revenue of the associated movie in terms of 2010 dollars, accounting for inflation over time.
From this dataset we could try to solve many different questions such as :
Is there an improvement in the quality of movies from year to year?

What kinds of properties are associated with movies that have high revenues?

Is the number of movies increase from year to year?

Is there a relation between a movie runtime and the vote average?

Who are the top 5 directors according to high rev
TMDb movie data analysis
Table of Contents
Introduction
Data Wrangling
Exploratory Data Analysis
Conclusions
Introduction
To complete my Data Analysis project I am using TMDb movies dataset.

This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.

Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters.
There are some odd characters in the ‘cast’ column.
The final two columns ending with “_adj” show the budget and revenue of the associated movie in terms of 2010 dollars, accounting for inflation over time.
From this dataset we could try to solve many different questions such as :
Is there an improvement in the quality of movies from year to year?

What kinds of properties are associated with movies that have high revenues?

Is the number of movies increase from year to year?

Is there a relation between a movie runtime and the vote average?

Who are the top 5 directors according to high rev
TMDb movie data analysis
Table of Contents
Introduction
Data Wrangling
Exploratory Data Analysis
Conclusions
Introduction
To complete my Data Analysis project I am using TMDb movies dataset.

This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.

Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters.
There are some odd characters in the ‘cast’ column.
The final two columns ending with “_adj” show the budget and revenue of the associated movie in terms of 2010 dollars, accounting for inflation over time.
From this dataset we could try to solve many different questions such as :
Is there an improvement in the quality of movies from year to year?

What kinds of properties are associated with movies that have high revenues?

Is the number of movies increase from year to year?

Is there a relation between a movie runtime and the vote average?

Who are the top 5 directors according to high rev
TMDb movie data analysis
scraping large data from https://www.local.ch/ website
Total around 10-15.000 entries
scraping large data from https://www.local.ch/ website
Total around 10-15.000 entries
Scrape data from yellow pages Australia website

300 industries, approximately 340,000 records.

but records keep changing continuously. it could be little more or less now.
I need 9 pieces (columns) of information for each company.
As a sample,  1) Accountants & Auditors
Scrape data from yellow pages australia website
Scrape data from yellow pages Australia website

300 industries, approximately 340,000 records.

but records keep changing continuously. it could be little more or less now.
I need 9 pieces (columns) of information for each company.
As a sample,  1) Accountants & Auditors
Scrape data from yellow pages australia website
Scrape data from yellow pages Australia website

300 industries, approximately 340,000 records.

but records keep changing continuously. it could be little more or less now.
I need 9 pieces (columns) of information for each company.
As a sample,  1) Accountants & Auditors
Scrape data from yellow pages australia website
Scrape data from yellow pages Australia website

300 industries, approximately 340,000 records.

but records keep changing continuously. it could be little more or less now.
I need 9 pieces (columns) of information for each company.
As a sample,  1) Accountants & Auditors
Scrape data from yellow pages australia website
download some data like images of Huawei protects and its descriptions in form excel file
scraping data from amazon like images and descriptions
download some data like images of Huawei protects and its descriptions in form excel file
scraping data from amazon like images and descriptions
download some data like images of Huawei protects and its descriptions in form excel file
scraping data from amazon like images and descriptions

Reviews

Changes saved
Showing 1 - 5 out of 13 reviews
Filter reviews by: 5.0
$25.00 USD
Abdelaziz did a great job scrapping the data i needed and he did it in a short time, I highly recommend him.
Python Web Scraping MySQL BeautifulSoup Selenium
User Avatar
Flag of Leonardo G. @leonardogutie
8 months ago
5.0
$3.00 USD
Very professional freelancer. Work delivered 100% genuine.
Data Entry Web Search
H
Flag of Hubert L. @hubertlis
10 months ago
5.0
₹600.00 INR
Satisfied with work perfect work delivers on time.
User Avatar
Flag of Tushar J. @tusharjoshi948
1 year ago
4.0
$25.00 USD
Abdelaziz labelled my map very well and I may hire him for a similar project. Recommended.
Data Entry JSON Geographical Information System (GIS)
User Avatar
Flag of Abdulaziz J. @aziog91
1 year ago
4.8
$20.00 USD
Good experience and good efforts
PHP Python Data Processing Web Scraping Software Architecture
User Avatar
Flag of Khalid N. @khalidanasser
2 years ago

Experience

web scraper

upwork
Jan 2018 - Present
the web scraping is considered the best resource of leads, it contains billions of data for all businesses categories, if you would like to take benefits from it, then you are at the right place! We will work together until you get the leads that fit your needs. My spiders are ready for collecting the leads! Just contact me to trigger the start button.

Education

Bachelor Degree in electronic and communications Engineering

Alexandria University, Egypt 2018 - 2022
(4 years)

Qualifications

Data Analysis Professional Nanodegree Program

Udacity
2021
✅ Develop programs in Python ✅ Manipulate data using NumPy ✅ Load and process data using Pandas ✅ Use Anaconda to manage your programming environment ✅ Investigate a dataset using Python data analysis packages ✅ Perform the entire data analysis process on a dataset ✅ Data Wrangling ✅ Gather data from multiple sources in a variety of formats ✅ Assess the quality and tidiness of data visually and programmatically ✅ Clean data using Python and Pandas

Ask Questions to Make Data-Driven Decisions

Coursera
2021
✅Explain how each step of the problem-solving road map contributes to common analysis scenarios. ✅Discuss the use of data in the decision-making process. ✅Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data. ✅Describe the key ideas associated with structured thinking. Skills acquired: ▶️Spreadsheet ▶️Questioning ▶️Decision-Making ▶️Problem Solving ▶️Data Analysis

Data Analysis Challenger

Udacity
2021
✅Calculate summary statistics using spreadsheets ✅Create data visualizations using spreadsheets ✅Ask questions and answer them using data ✅Calculate key business metrics in financial analysis and interpret values ✅Forecast financial metrics using scenario analysis

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Top Skills

Web Scraping 14 Data Entry 8 PHP 6 Web Search 6 Excel 5

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