Mohamed K. Profile | Freelancer

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5,0

(26 recenzii)

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$15 USD/oră

cairo,

$15 USD/oră

Momentan, aici e ora 2:00 p.m.

S-a înregistrat pe mai 5, 2021

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Mohamed K.

@MohamedKamelCS

5,0

(26 recenzii)

4,2

4,2

96%

96%

$15 USD/oră

cairo,

$15 USD/oră

100 %

Proiecte finalizate

99 %

Conform bugetului

100 %

La timp

28 %

Rata de angajare repetată

Python Developer|PDF Extraction Specialist|Scraper

I am Python Developer and Data Analyst with a Postgraduate Diploma and Pre-Master in Computer Science. With expertise in data analysis, interpretation, web scraping, data wrangling, and visualization, I am adept at extracting valuable insights from raw data. I am also experienced in building web scraping scripts, web automation, and data engineering. As a professional, I am passionate about generating new ideas and finding solutions to problems. I am dedicated to delivering top-quality work and am always willing to go the extra mile to ensure client satisfaction. My areas of expertise include the following: ✅Python programming ✅Web scraping and data extraction ✅Data engineering ✅Web automation ✅Data analysis ✅Data visualization ✅Automated scripts ✅Selenium automation ✅Web Crawling ✅Excel, CSV, XML, and JSON data handling ✅Convert PDF files to Excel and Word ✅Tableau ✅Google Data Studio, Google Data Analytics, ✅ Crystal Report With a strong background in computer science and a passion for data analysis and automation, I am an excellent choice for your next project. I am always available for inquiries and am committed to delivering the best results to my clients.

Vezi toate opțiunile pentru Python Developers din Egypt

Discută cu Mohamed K. despre proiect

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Portfoliu

Create Python script to parse complex PDF files to Excel file
The PDF has blocks of text separated by spaces. Each block of text has the address and information of an establishment. The finished product is an Excel file that contains a row per establishment

Convert Complex PDF File to Excel File

Create a Program to automatically generates Word documents based on a pre-existing template, The program is able to recognize and modify some required fields, The desired outcome is for the program to maintain the Calibri font and produce the output in Word format, reducing the time required for manual editing

Program that generate a word file

Create a Program to automatically generates Word documents based on a pre-existing template, The program is able to recognize and modify some required fields, The desired outcome is for the program to maintain the Calibri font and produce the output in Word format, reducing the time required for manual editing

Program that generate a word file

This task involves using the Python programming language and the Plotly library to create visualizations from data stored in a CSV file. The goal is to take the data from the CSV file and use it to create various types of plots, such as line charts, bar charts, and scatter plots, using the Plotly library. The visualizations will be created by first reading the data from the CSV file, then manipulating and formatting the data as needed, and finally using the Plotly library to create the plots. The final result will be interactive visualizations that can be easily shared and explored by others.

Creating Interactive Visualizations from CSV Data using Pyth

1st - check for duplicate file numbers on the new sheet - if no duplicates then create new sheet on the final file named DUPLICATES and put 'No Data'
If yes it finds duplicates - copy the duplicates and put on the output file as a ENTIRE ROW on a new tab
named DUPLICATES and REMOVE entire rows of duplicates from the main xls file
2nd - compare the new sheet against the old sheet for differences - and show the detail below;
3rd - if rows on the new file and NOT on the old file - place ENTIRE ROW on tab named NEW
4th - if NOT on the new file but was on the old file - place ENTIRE ROW on a tab named TERM
5th - check for changes using COMPLETE ROWS - if any cells are different on the new file from the old file then move ENTIRE ROW to a tab named CHANGE showing the old value AND new value
6th - export the completed sheet with all data - Evacuation List, Sheet1, NEW, TERM, CHANGE, DUPLICATES

Python Script to compare two Excel Workbooks using Pandas

Scrape the google review

Scrape the google review

excel template

Create Python script to parse complex PDF files to Excel file
The PDF has blocks of text separated by spaces. Each block of text has the address and information of an establishment. The finished product is an Excel file that contains a row per establishment

Convert Complex PDF File to Excel File

Create a Program to automatically generates Word documents based on a pre-existing template, The program is able to recognize and modify some required fields, The desired outcome is for the program to maintain the Calibri font and produce the output in Word format, reducing the time required for manual editing

Program that generate a word file

Create a Program to automatically generates Word documents based on a pre-existing template, The program is able to recognize and modify some required fields, The desired outcome is for the program to maintain the Calibri font and produce the output in Word format, reducing the time required for manual editing

Program that generate a word file

This task involves using the Python programming language and the Plotly library to create visualizations from data stored in a CSV file. The goal is to take the data from the CSV file and use it to create various types of plots, such as line charts, bar charts, and scatter plots, using the Plotly library. The visualizations will be created by first reading the data from the CSV file, then manipulating and formatting the data as needed, and finally using the Plotly library to create the plots. The final result will be interactive visualizations that can be easily shared and explored by others.

Creating Interactive Visualizations from CSV Data using Pyth

1st - check for duplicate file numbers on the new sheet - if no duplicates then create new sheet on the final file named DUPLICATES and put 'No Data'
If yes it finds duplicates - copy the duplicates and put on the output file as a ENTIRE ROW on a new tab
named DUPLICATES and REMOVE entire rows of duplicates from the main xls file
2nd - compare the new sheet against the old sheet for differences - and show the detail below;
3rd - if rows on the new file and NOT on the old file - place ENTIRE ROW on tab named NEW
4th - if NOT on the new file but was on the old file - place ENTIRE ROW on a tab named TERM
5th - check for changes using COMPLETE ROWS - if any cells are different on the new file from the old file then move ENTIRE ROW to a tab named CHANGE showing the old value AND new value
6th - export the completed sheet with all data - Evacuation List, Sheet1, NEW, TERM, CHANGE, DUPLICATES

Python Script to compare two Excel Workbooks using Pandas

Scrape the google review

Scrape the google review

excel template

Recenzii

Modificările au fost salvate

Se afișează 1 – 5 din 25 recenzii

Filtrează recenziile în funcție de:

5,0

$104,00 USD

Project for Mohamed K. -- 3

As usual amazing job and very responsive

Software Architecture

+ încă 1

Sankeerth M.

@sankeerthmaddula

•

4 luni în urmă

5,0

$150,00 USD

Data extraction from large PDF File using AI

Mohamed was precise and did the job very well.

Software Architecture

D

Dave Q.

@Diefullah

•

7 luni în urmă

5,0

$20,00 USD

Project for Mohamed K. -- 2

Great working with you

Software Architecture

+ încă 1

Sankeerth M.

@sankeerthmaddula

•

11 luni în urmă

5,0

$35,00 USD

Convert pdf to csv using python code

It's our third collaboration, Mohamed did a great job like always, Very professional and Highly recommended!

Software Architecture

+ încă 1

Ahmed S.

@AhmeedSelim

•

1 an în urmă

5,0

€130,00 EUR

Webscraping / download ISCC database

Mohamed did a good job, scraping a database from a website for me. I would work with him again.

Software Architecture

A

Aron S.

@arsimo

•

1 an în urmă

Experiență

Freelance

ian. 2021 - Prezent

Web scraping And data analysis

Educație

pre-master - Computer Science

Cairo University,

Egypt

2018 – 2019

(1 an)

Postgraduate diploma - Computer Science

Cairo University,

Egypt

2010 – 2012

(2 ani)

Calificări

Udacity

2021

I learned Inferential statistics and probability using Python Hypothesis and A/B testing analytics Regression models Visualization using different design elements

Udacity

2020

I learned Data analysis using Python, Data extraction and organization, Data wrangling, Data cleaning using Python and Pandas, and Practicing the entire data analysis process.

Discută cu Mohamed K. despre proiect

Conectează-te pentru a discuta pe chat despre detalii.

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