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Data Processing
Pandas
Python
Selenium
Statistics
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Аватарка користувача

Osama E.

@OsamaSonbaty

5,0
6
4,3
4,3
100%

Data Analyst | Python Developer

$20 USD / год.
・
Прапор
Egypt (8:18 пп)
・
На сайті з вересня 20, 2022
$20 USD / год.
・
I'm a full-time Data Analyst/Python Developer and a Mechatronics Engineering graduate. I use Python as my main tool to process, analyze and visualize data. I provide Data Analysis and Python Development services. ✅ Python Development ✅ Web Scraping (Selenium, BeautifulSoup) ✅ Exploratory Data Analysis ✅ Data Cleaning and Organization ✅ Data Visualization ✅ Extracting useful statistics ✅ Creating a report using Jupyter Notebooks to answer questions by combining the above methods ✅ A/B Testing and Hypothesis Testing ✅SQL ✅Machine Learning using scikit-learn Skills: -------- •Python •Pandas, Numpy for Data Analysis •Matplotlib, Seaborn for Data Visualization •Selenium and bs4 for Web Scraping •Scikit-learn for Machine Learning. •MySQL, PostgreSQL, SQLite •Tableau
Верифікації
Вчасно
100%
В межах бюджету
100%
Рейтинг прийняття
100%
Рейтинг повторного найняття
25%
Freelancer Python Developers Egypt
Переглянути всіх Python Developers в Egypt

Портфоліо

Портфоліо

11262675
Web scraping 2500 vet clinic information in Saudi Arabia using Python Selenium. Threading was utilized to speed up the process. The data was saved as as CSV file.
Web Scraping 2500 vet clinic information using Selenium
Web scraping 2500 vet clinic information in Saudi Arabia using Python Selenium. Threading was utilized to speed up the process. The data was saved as as CSV file.
Web Scraping 2500 vet clinic information using Selenium
11222382
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
10546146
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
10408498
The goal of the project was to analyze a dataset of 100,000 medical appointments in Brazil, and identify which factors are important to predict whether or not the patient will show up to their appointment. The dataset was explored, cleaned and analyzed mainly using the Pandas library in Python, and the results were visualized using various plots as appropriate using the Matplotlib library. The analysis showed how factors, such as the hospital location, affected the probability of showing up, while others, such as gender, were insignificant. I included snapshots from the report, and an PDF document of the full report as a Jupyter Notebook if you're interested in more details.
Medical Appointments Dataset Analysis
The goal of the project was to analyze a dataset of 100,000 medical appointments in Brazil, and identify which factors are important to predict whether or not the patient will show up to their appointment. The dataset was explored, cleaned and analyzed mainly using the Pandas library in Python, and the results were visualized using various plots as appropriate using the Matplotlib library. The analysis showed how factors, such as the hospital location, affected the probability of showing up, while others, such as gender, were insignificant. I included snapshots from the report, and an PDF document of the full report as a Jupyter Notebook if you're interested in more details.
Medical Appointments Dataset Analysis
The goal of the project was to analyze a dataset of 100,000 medical appointments in Brazil, and identify which factors are important to predict whether or not the patient will show up to their appointment. The dataset was explored, cleaned and analyzed mainly using the Pandas library in Python, and the results were visualized using various plots as appropriate using the Matplotlib library. The analysis showed how factors, such as the hospital location, affected the probability of showing up, while others, such as gender, were insignificant. I included snapshots from the report, and an PDF document of the full report as a Jupyter Notebook if you're interested in more details.
Medical Appointments Dataset Analysis
Medical Appointments Dataset Analysis
10408484
Udacity Data Analysis Professional: In this Nano-degree, I learned data cleansing, wrangling and visualization using Python. I mainly used these libraries: pandas, numpy, matplotlib and seaborn. Python (Basic): Passed Hackerrank Python assesment SQL (Basic) Passed Hackerrank SQL assesment
Certificates
Udacity Data Analysis Professional: In this Nano-degree, I learned data cleansing, wrangling and visualization using Python. I mainly used these libraries: pandas, numpy, matplotlib and seaborn. Python (Basic): Passed Hackerrank Python assesment SQL (Basic) Passed Hackerrank SQL assesment
Certificates
Udacity Data Analysis Professional: In this Nano-degree, I learned data cleansing, wrangling and visualization using Python. I mainly used these libraries: pandas, numpy, matplotlib and seaborn. Python (Basic): Passed Hackerrank Python assesment SQL (Basic) Passed Hackerrank SQL assesment
Certificates
10543772
Performed Exploratory Data Analysis on a dataset for Student Admissions on Universities. I used different plots to explore the correlation between data and answer questions. Attached is 2 snapshots and a pdf of the notebook with my entire analysis.
Exploratory Data Analysis and Visualization
Performed Exploratory Data Analysis on a dataset for Student Admissions on Universities. I used different plots to explore the correlation between data and answer questions. Attached is 2 snapshots and a pdf of the notebook with my entire analysis.
Exploratory Data Analysis and Visualization
Exploratory Data Analysis and Visualization
11262675
Web scraping 2500 vet clinic information in Saudi Arabia using Python Selenium. Threading was utilized to speed up the process. The data was saved as as CSV file.
Web Scraping 2500 vet clinic information using Selenium
Web scraping 2500 vet clinic information in Saudi Arabia using Python Selenium. Threading was utilized to speed up the process. The data was saved as as CSV file.
Web Scraping 2500 vet clinic information using Selenium
11222382
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
Web scraping Glassdoor (A website for job search) using Python Selenium. The script first prompts the user to input their username, password, job title, and location. Then, it loads the website, logs in, searches for the required job title and location, outputs the result as a Pandas data frame, and saves it as a CSV file. The results can be manipulated and sorted as required. For example, You can sort the results by company rating and date posted.
Web Scraping Glassdoor using Python Selenium
10546146
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
Filtering data from a database using SQLite DB Browser and visualizing the output to create a presetation.
SQL Queries and Visualization
10408498
The goal of the project was to analyze a dataset of 100,000 medical appointments in Brazil, and identify which factors are important to predict whether or not the patient will show up to their appointment. The dataset was explored, cleaned and analyzed mainly using the Pandas library in Python, and the results were visualized using various plots as appropriate using the Matplotlib library. The analysis showed how factors, such as the hospital location, affected the probability of showing up, while others, such as gender, were insignificant. I included snapshots from the report, and an PDF document of the full report as a Jupyter Notebook if you're interested in more details.
Medical Appointments Dataset Analysis
The goal of the project was to analyze a dataset of 100,000 medical appointments in Brazil, and identify which factors are important to predict whether or not the patient will show up to their appointment. The dataset was explored, cleaned and analyzed mainly using the Pandas library in Python, and the results were visualized using various plots as appropriate using the Matplotlib library. The analysis showed how factors, such as the hospital location, affected the probability of showing up, while others, such as gender, were insignificant. I included snapshots from the report, and an PDF document of the full report as a Jupyter Notebook if you're interested in more details.
Medical Appointments Dataset Analysis
The goal of the project was to analyze a dataset of 100,000 medical appointments in Brazil, and identify which factors are important to predict whether or not the patient will show up to their appointment. The dataset was explored, cleaned and analyzed mainly using the Pandas library in Python, and the results were visualized using various plots as appropriate using the Matplotlib library. The analysis showed how factors, such as the hospital location, affected the probability of showing up, while others, such as gender, were insignificant. I included snapshots from the report, and an PDF document of the full report as a Jupyter Notebook if you're interested in more details.
Medical Appointments Dataset Analysis
Medical Appointments Dataset Analysis
10408484
Udacity Data Analysis Professional: In this Nano-degree, I learned data cleansing, wrangling and visualization using Python. I mainly used these libraries: pandas, numpy, matplotlib and seaborn. Python (Basic): Passed Hackerrank Python assesment SQL (Basic) Passed Hackerrank SQL assesment
Certificates
Udacity Data Analysis Professional: In this Nano-degree, I learned data cleansing, wrangling and visualization using Python. I mainly used these libraries: pandas, numpy, matplotlib and seaborn. Python (Basic): Passed Hackerrank Python assesment SQL (Basic) Passed Hackerrank SQL assesment
Certificates
Udacity Data Analysis Professional: In this Nano-degree, I learned data cleansing, wrangling and visualization using Python. I mainly used these libraries: pandas, numpy, matplotlib and seaborn. Python (Basic): Passed Hackerrank Python assesment SQL (Basic) Passed Hackerrank SQL assesment
Certificates
10543772
Performed Exploratory Data Analysis on a dataset for Student Admissions on Universities. I used different plots to explore the correlation between data and answer questions. Attached is 2 snapshots and a pdf of the notebook with my entire analysis.
Exploratory Data Analysis and Visualization
Performed Exploratory Data Analysis on a dataset for Student Admissions on Universities. I used different plots to explore the correlation between data and answer questions. Attached is 2 snapshots and a pdf of the notebook with my entire analysis.
Exploratory Data Analysis and Visualization
Exploratory Data Analysis and Visualization
Зміни збережено
5.0 · 6 Reviews
Відгуки
Аватарка користувача
Golang developer to develop a grpc client to talk to terraform providers • $150 USD
Wouid hire again
Paul F.
@metersystems
•
Прапор
., Ireland
•
1 year ago
Поділитися
A
Sdf to csv • $40 USD
I highly recommend working with this individual. It was an absolute pleasure working with Osama. His code is very clean and efficient, and was completed in less time than I expected. His work also required zero debugging on my side which is very refreshing to see. Will definitely be bringing him on board again whenever the chance arises.
Abdallah A.
@abdullahatallah2
•
Прапор
Tampa, United States
•
1 year ago
Поділитися
Аватарка користувача
Webscrape a specific site using python • $50 USD
woruld recommend again
Paul F.
@metersystems
•
Прапор
., Ireland
•
2 years ago
Поділитися
Аватарка користувача
Project for Osama E. • €20 EUR
Working with Osama is such a pleasure! I would anytime work with him again. I'm looking forward to our next project very much! Thank you for your skills and compassion!
Tom W.
@illayni
•
Прапор
Offenbach, Germany
•
2 years ago
Поділитися
Аватарка користувача
Jupyter on Windows: Install python / tensorflow, etc. requirements on local computer • €15 EUR
What an amazing experience! Osama is outstandingly skilled and such an amazing teacher. I could not have chosen anybody better to help me with my project. The important thing was that he made me really understand what I am doing so that I could help myself in the future as well if I want to. He was open to any of my questions and gave me a crash curse into notebooks and pyhthon. Such a great experience! I am looking forward to working with you anytime! Thank you!
Tom W.
@illayni
•
Прапор
Offenbach, Germany
•
2 years ago
Поділитися
Досвід
Data Analyst
черв., 2022 - Теперішній час
•
2 years, 7 months
Marketeers Research and Consultants
черв., 2022 - Теперішній час
•
2 years, 7 months
• Collaborate with the business analysis team to understand and clarify project requirements communicated by the client. • Creating automated data-cleaning modules using Python and other software. • Developing automated data manipulation and analysis scripts for large sets of data using MS Excel and Python. • Creating PowerPoint presentations with the final output of the analyses as tables and charts. • Appropriate quality control of data and deliverables
черв., 2022 - Теперішній час
•
2 years, 7 months
Freelance Transcriptionist
трав., 2021 - черв., 2021
•
1 month
Appen Global
трав., 2021 - черв., 2021
•
1 month
A brief project that required listening to audio segments in English and Arabic and transcribing them according to a set of guidelines. The goal of the project was to help improve machine speech recognition for Egyptian English.
трав., 2021 - черв., 2021
•
1 month
Appen Global
жовт., 2018 - квіт., 2019
•
5 months, 30 days
Social Media Evaluator
лют., 2019 - квіт., 2019
•
2 months, 2 days
I reviewed and rated social media content using a web application to support measurement of data relevance according to detailed criteria for a major social media platform.
Web Search Evaluator
жовт., 2018 - лют., 2019
•
4 months
I reviewed and rated search engine results using a web tool to support measurement of data relevance according to specific guidelines for a major search engine company.
жовт., 2018 - квіт., 2019
•
5 months, 30 days
Освіта
Arab Academy for Science, Technology and Maritime Transport
2017 - 2022
•
5 years
Bachelor's of Mechatronics Engineering
Прапор
Egypt
2017 - 2022
•
5 years
Кваліфікації
Data Analysis Professional
2021
Udacity
Data collection, cleansing, wrangling and visualization using Python. -Pandas and Numpy for wrangling and analysis -Matplotlib and Seaborn for visualization -Web Scraping using beautifulsoup
2021
Сертифікати
P
Preferred Freelancer Program SLA
Freelancer Orientation
Freelancer Orientation
US English - Level 1
US English
Запрошення успішно надіслане!
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