Abdelaziz N. Profile | Freelancer

Как это работает

Поиск работы

Регистрация

Опубликовать проект

ПОИСК

4,9

(13 отзывов(-а))

Теперь вы подписаны на .

Ошибка подписки на пользователя.

Этот пользователь не разрешает другим пользователям подписываться на него.

Вы уже подписаны на этого пользователя.

Ваш членский план допускает не более 0 подписок. Повысить уровень членства можно здесь.

Пописка на пользователя успешно отменена.

Ошибка при отмене подписки на пользователя.

Вы успешно порекомендовали

Ошибка рекомендации пользователя.

Произошла какая-то ошибка. Пожалуйста, обновите страницу и повторите попытку.

Электронный адрес успешно верифицирован.

$2 USD / час

kafr el dawwar,

$2 USD / час

Сейчас здесь 12:40 PM

На сайте с октября 3, 2020

1 Рекомендация

Abdelaziz N.

@Abdelaziz2352000

4,9

(13 отзывов(-а))

3,8

3,8

$2 USD / час

kafr el dawwar,

$2 USD / час

94 %

Завершенных работ

100 %

В рамках бюджета

93 %

Своевременно

5 %

Рейтинг повторного найма

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]

Показать всех Web Scraping Specialists in Egypt

Свяжитесь с Abdelaziz N. по поводу вашей работы

Авторизуйтесь для обсуждения любых деталей в чате.

Элементы портфолио

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

Отзывы

Изменения сохранены

Показаны с 1 по 5 из 13 отзывов

Фильтровать отзывы по:

5,0

$25,00 USD

Script for Web Scrapping from rarity.tools

Abdelaziz did a great job scrapping the data i needed and he did it in a short time, I highly recommend him.

Leonardo G.

@leonardogutie

•

1 год назад

5,0

$3,00 USD

Process data online

Very professional freelancer. Work delivered 100% genuine.

H

Hubert L.

@hubertlis

•

1 год назад

5,0

₹600,00 INR

Project 31529549 has been deleted

Satisfied with work perfect work delivers on time.

Tushar J.

@tusharjoshi948

•

2 года назад

4,0

$25,00 USD

Maps labeling (Arabic is required)

Abdelaziz labelled my map very well and I may hire him for a similar project. Recommended.

Geographical Information System (GIS)

Abdulaziz J.

@aziog91

•

2 года назад

4,8

$20,00 USD

Extra data using python

Good experience and good efforts

Data Processing

Software Architecture

Khalid N.

@khalidanasser

•

2 года назад

Опыт работы

upwork

янв. 2018 - Настоящее время

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.

Образование

Bachelor Degree in electronic and communications Engineering

Alexandria University,

Egypt

2018 - 2022

(4 года)

Квалификация

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

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

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

Свяжитесь с Abdelaziz N. по поводу вашей работы

Авторизуйтесь для обсуждения любых деталей в чате.

Верификация

Предпочтительный фрилансер

Личность подтверждена

Метод оплаты верифицирован

Номер телефона верифицирован

Электронный адрес верифицирован

Связано с Facebook

Топ-навыки

14

8

6

6

5

Искать подобных фрилансеров

Web Scraping Specialists in Egypt

Web Scraping Specialists

Data Entry Clerks

Просмотреть подобные образцы

Предыдущий пользователь

Следующий пользователь

Приглашение успешно отправлено!

Загружаем предпросмотр

Разрешение на определение геолокации предоставлено.

Срок действия вашего сеанса входа истек, и сеанс был закрыт. Пожалуйста, войдите снова.