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$20 USD / hora
Bandera de GERMANY
hamburg, germany
$20 USD / hora
Aquí son las 1:55 a. m.
Se unió el junio 8, 2010
3 recomendaciones

Nelum Thushara Indralal G.

@nelumindralal

monthly-level-two.svg
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 5,0 (50 comentarios)
5,5
5,5
91%
91%
$20 USD / hora
Bandera de GERMANY
hamburg, germany
$20 USD / hora
100 %
Trabajos finalizados
95 %
Dentro del presupuesto
92 %
A tiempo
10 %
Tasa de recontratación

Python | Excel | Java | HTML | CSS | JavaScript

Hello All, I am Six Sigma Green Belt certified Engineer with Project Management experience, and currently learning Python for data analysis and visualization. • Python Crash Course [login to view URL] • Foundation on Project Management [login to view URL] •Certified Six Sigma Green Belt Credential ID: 441cacb5-4f65-4398-932e-f3b1435984a8 Validation URL: [login to view URL] •IELTS 7.0 (March 2023, British Council, Hamburg) Here are some of my skills. SKILLS & CAPABILITIES >JavaScript, HTML, CSS, Java > Excel, Macro, VBA > Python, Web-scraping > Pdf to Excel, Pdf Editing, Form preparing > Excel DB to PDF forms, Auto-filling PDF form KEY PRIORITIES >Client's satisfaction with the delivered order >Replies less than 1 hour >Discussions, communication with respect and provide daily status updates >Work on schedule and meet deadlines once started ( 1 project at a time) >100% check before deliver >After Service, if required Thanks, Regards Nelum Thushara
Freelancer Excel Experts Germany
Ver todo Excel Experts en Germany

Contacta Nelum Thushara Indralal G. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Portafolio

11818771
I will scrape dynamic websites example gaming sites, betting data sites and steps as follows Clean the data after scraped remove any outliers or add missing values if required create as a tabular format save as excel, csv or Json format If required, I can create an executable file, so you can click everyday to get the updated file Contact me and you will get your project done
I will scrape dynamic websites using python selenium
I will scrape dynamic websites example gaming sites, betting data sites and steps as follows Clean the data after scraped remove any outliers or add missing values if required create as a tabular format save as excel, csv or Json format If required, I can create an executable file, so you can click everyday to get the updated file Contact me and you will get your project done
I will scrape dynamic websites using python selenium
I will scrape dynamic websites example gaming sites, betting data sites and steps as follows Clean the data after scraped remove any outliers or add missing values if required create as a tabular format save as excel, csv or Json format If required, I can create an executable file, so you can click everyday to get the updated file Contact me and you will get your project done
I will scrape dynamic websites using python selenium
10289172
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
10391362
Betting Website Scraping using Python beautifulsoup.
Betting Website Scraping
Betting Website Scraping using Python beautifulsoup.
Betting Website Scraping
4254419
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
3945800
A client wanted to open raw data sheets and copy sheet data to the master sheet and then to create a pivot table with some date filtering. Once created the pivot table, want to Vlookup some data as a summary. That Vlookup also did by using VBA code
Pivot Table create automatically by VBA code
6637313
This is to count vehicles on the road. It will save quantity of different types of vehicles in the excel database with the timing
I will create userform app ( vehicle counting on the road)
11818771
I will scrape dynamic websites example gaming sites, betting data sites and steps as follows Clean the data after scraped remove any outliers or add missing values if required create as a tabular format save as excel, csv or Json format If required, I can create an executable file, so you can click everyday to get the updated file Contact me and you will get your project done
I will scrape dynamic websites using python selenium
I will scrape dynamic websites example gaming sites, betting data sites and steps as follows Clean the data after scraped remove any outliers or add missing values if required create as a tabular format save as excel, csv or Json format If required, I can create an executable file, so you can click everyday to get the updated file Contact me and you will get your project done
I will scrape dynamic websites using python selenium
I will scrape dynamic websites example gaming sites, betting data sites and steps as follows Clean the data after scraped remove any outliers or add missing values if required create as a tabular format save as excel, csv or Json format If required, I can create an executable file, so you can click everyday to get the updated file Contact me and you will get your project done
I will scrape dynamic websites using python selenium
10289172
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
Web Scraping with Python. I used Beautifulsoup library to scrape all the levels that I need. Here is the task given by the client We need postal addresses read (website scraping) from a website. The postal addresses can be found on the following pages: https://www.meinprospekt.de/filialen/edeka https://www.meinprospekt.de/filialen/rewe-de https://www.meinprospekt.de/filialen/kaufland https://www.meinprospekt.de/filialen/edekacenter-de https://www.meinprospekt.de/filialen/real-de https://www.meinprospekt.de/filialen/kupsch-de https://www.meinprospekt.de/filialen/nahundgut-de https://www.meinprospekt.de/filialen/edekazurheide-de https://www.meinprospekt.de/filialen/diska-de https://www.meinprospekt.de/filialen/hit-de https://www.meinprospekt.de/filialen/marktkauf This postal address, including the subpages, would have to be read out completely and sent as a CSV file. The structure of the CSV file should be as follows: Name, street, zip code, city, telephone number (contact), name
Web Scraping with Python
10391362
Betting Website Scraping using Python beautifulsoup.
Betting Website Scraping
Betting Website Scraping using Python beautifulsoup.
Betting Website Scraping
4254419
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
Nice dashboards were created for clients
Dashboard creations
3945800
A client wanted to open raw data sheets and copy sheet data to the master sheet and then to create a pivot table with some date filtering. Once created the pivot table, want to Vlookup some data as a summary. That Vlookup also did by using VBA code
Pivot Table create automatically by VBA code
6637313
This is to count vehicles on the road. It will save quantity of different types of vehicles in the excel database with the timing
I will create userform app ( vehicle counting on the road)

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5,0
$250,00 USD
Create a reporting spreadsheet with multiple locations and areas
Great Freelancer to work with
Visual Basic
Data Processing
Data Entry
Excel
K
Bandera de Wyclif K.
@kwyclif
•
hace 4 meses
5,0
$50,00 AUD
I need excel help with sorting products
Very quick to respond and take in new information. very professional and helpful
Data Processing
Excel
J
Bandera de Josh K.
@joshkennedy5027
•
hace 1 año
5,0
$40,00 USD
Building out model on Google
Great work. Looking forward to working together again in the future.
Excel
Virtual Assistant
Google Sheets
Google Docs
Avatar del usuario
Bandera de Brian K.
@kimebm
•
hace 2 años
5,0
$199,00 USD
Project for Thushara I. -- 5
Any data analytic, this guy will always deliver. Amazing work ethic!
Visual Basic
Data Processing
Data Entry
Excel
CAD/CAM
+1 más
L
Bandera de Leslie M.
@lesliefmurphy
•
hace 2 años
5,0
$60,00 USD
Build me a simple address collecting link on my website
Thushara went over & beyond in creating a program for us. I appreciated his insight, creativity and very fast work. I will definitely be using him again.
Excel
C++ Programming
Database Programming
Avatar del usuario
Bandera de Robert P.
@rbpill
•
hace 2 años

Educación

B. Sc Mechanical Engineering

University of Peradeniya, Sri Lanka 2006 - 2010
(4 años)

Calificaciones

IELTS

British Council- Singapore
2019
Band 7.0

Contacta Nelum Thushara Indralal G. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

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Certificaciones

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 97%
javascript_1.png JavaScript 1 80%
german-1.png German 1 80%
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Principales habilidades

Excel 46
Data Entry 39
Data Processing 32
PDF 5
Web Scraping 1

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