Реєстрація

Опублікувати проект

ВІДКРИЙТЕ ДЛЯ СЕБЕ

Data Extraction

5,0

(2 відгуки(-ів))

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Електронну адресу успішно верифіковано.

Muhammad A.

@mohdawais944

5,0

2

3,1

3,1

100%

Excel Expert | Data Analyst | Python

$20 USD / год.

・

Germany (4:15 пп)

・

На сайті з липня 22, 2020

$20 USD / год.

・

Hi there, I am Muhammad Awais residing in Germany. I am an experienced freelancer specializing in Excel, data analysis, and Python programming. With expertise in advanced Excel functions, data manipulation, statistical analysis, and Python scripting, I can help you unlock valuable insights from your data. Let's collaborate on your project and turn data into actionable results. Contact me today to get started.

Верифікації

Вчасно

100%

В межах бюджету

100%

Рейтинг прийняття

100%

Переглянути всіх Data Entry Clerks в Germany

Портфоліо

Портфоліо

In this project, I utilized web scraping techniques to gather information from vape store websites in New York. I extracted essential details such as store names, websites, addresses, and phone numbers. By employing specialized tools and scripts, I automated the process of data collection and ensured accurate and comprehensive results. The extracted data was then exported to an Excel file for easy analysis and further use. This project enabled clients to access a curated database of vape stores in New York, empowering them with valuable insights for market research, business planning, and decision-making.

Web Scrapping and Exporting Data to Excel

In this project, I utilized web scraping techniques to gather information from vape store websites in New York. I extracted essential details such as store names, websites, addresses, and phone numbers. By employing specialized tools and scripts, I automated the process of data collection and ensured accurate and comprehensive results. The extracted data was then exported to an Excel file for easy analysis and further use. This project enabled clients to access a curated database of vape stores in New York, empowering them with valuable insights for market research, business planning, and decision-making.

Web Scrapping and Exporting Data to Excel

In this project, I utilized web scraping techniques to gather information from vape store websites in New York. I extracted essential details such as store names, websites, addresses, and phone numbers. By employing specialized tools and scripts, I automated the process of data collection and ensured accurate and comprehensive results. The extracted data was then exported to an Excel file for easy analysis and further use. This project enabled clients to access a curated database of vape stores in New York, empowering them with valuable insights for market research, business planning, and decision-making.

Web Scrapping and Exporting Data to Excel

11136844

More information can ve found on my Github account: https://github.com/awais345

The repository contains the data analysis of the sales for an electronic store for the year 2019. The analysis is performed using Python programming language and various data analysis libraries.

A Journey through Exploratory Data Analysis

11136839

Read amore about the project on my Githun account: https://github.com/awais345

This repository contains the step by step analysis of Electric Vehicles and price prediction using linear regression model

Exploring EV Data: Insights and Price Prediction

Read amore about the project on my Githun account: https://github.com/awais345

This repository contains the step by step analysis of Electric Vehicles and price prediction using linear regression model

Exploring EV Data: Insights and Price Prediction

11136794

Data Analysis with Python - complete analysis can be found on my github account: https://github.com/awais345

Dataset: The dataset 'station_data_dataverse' is provided in a .CSV format. It contains anonymized data, ensuring the privacy of the individuals and organizations involved. Each charging session record includes details such as charging duration, energy consumption, charging cost, station ID, site information, and driver information.

Analysis Methodology: The analysis of the dataset is performed using Python and various data analysis libraries, such as Pandas, NumPy, seaborn and Matplotlib.

Results and Insights: The analysis yields valuable insights into charging behavior, power consumption, charging costs, devices (android, IOS, web) used to log charging session, and the charging pattern at various location.

Data Analysis - Electric Vehicle Charging Sessions Analysis

Data Analysis with Python - complete analysis can be found on my github account: https://github.com/awais345

Dataset: The dataset 'station_data_dataverse' is provided in a .CSV format. It contains anonymized data, ensuring the privacy of the individuals and organizations involved. Each charging session record includes details such as charging duration, energy consumption, charging cost, station ID, site information, and driver information.

Analysis Methodology: The analysis of the dataset is performed using Python and various data analysis libraries, such as Pandas, NumPy, seaborn and Matplotlib.

Results and Insights: The analysis yields valuable insights into charging behavior, power consumption, charging costs, devices (android, IOS, web) used to log charging session, and the charging pattern at various location.

Data Analysis - Electric Vehicle Charging Sessions Analysis

Data Analysis with Python - complete analysis can be found on my github account: https://github.com/awais345

Dataset: The dataset 'station_data_dataverse' is provided in a .CSV format. It contains anonymized data, ensuring the privacy of the individuals and organizations involved. Each charging session record includes details such as charging duration, energy consumption, charging cost, station ID, site information, and driver information.

Analysis Methodology: The analysis of the dataset is performed using Python and various data analysis libraries, such as Pandas, NumPy, seaborn and Matplotlib.

Results and Insights: The analysis yields valuable insights into charging behavior, power consumption, charging costs, devices (android, IOS, web) used to log charging session, and the charging pattern at various location.

Data Analysis - Electric Vehicle Charging Sessions Analysis

In this project, I utilized web scraping techniques to gather information from vape store websites in New York. I extracted essential details such as store names, websites, addresses, and phone numbers. By employing specialized tools and scripts, I automated the process of data collection and ensured accurate and comprehensive results. The extracted data was then exported to an Excel file for easy analysis and further use. This project enabled clients to access a curated database of vape stores in New York, empowering them with valuable insights for market research, business planning, and decision-making.

Web Scrapping and Exporting Data to Excel

In this project, I utilized web scraping techniques to gather information from vape store websites in New York. I extracted essential details such as store names, websites, addresses, and phone numbers. By employing specialized tools and scripts, I automated the process of data collection and ensured accurate and comprehensive results. The extracted data was then exported to an Excel file for easy analysis and further use. This project enabled clients to access a curated database of vape stores in New York, empowering them with valuable insights for market research, business planning, and decision-making.

Web Scrapping and Exporting Data to Excel

In this project, I utilized web scraping techniques to gather information from vape store websites in New York. I extracted essential details such as store names, websites, addresses, and phone numbers. By employing specialized tools and scripts, I automated the process of data collection and ensured accurate and comprehensive results. The extracted data was then exported to an Excel file for easy analysis and further use. This project enabled clients to access a curated database of vape stores in New York, empowering them with valuable insights for market research, business planning, and decision-making.

Web Scrapping and Exporting Data to Excel

11136844

More information can ve found on my Github account: https://github.com/awais345

The repository contains the data analysis of the sales for an electronic store for the year 2019. The analysis is performed using Python programming language and various data analysis libraries.

A Journey through Exploratory Data Analysis

11136839

Read amore about the project on my Githun account: https://github.com/awais345

This repository contains the step by step analysis of Electric Vehicles and price prediction using linear regression model

Exploring EV Data: Insights and Price Prediction

Read amore about the project on my Githun account: https://github.com/awais345

This repository contains the step by step analysis of Electric Vehicles and price prediction using linear regression model

Exploring EV Data: Insights and Price Prediction

11136794

Data Analysis with Python - complete analysis can be found on my github account: https://github.com/awais345

Dataset: The dataset 'station_data_dataverse' is provided in a .CSV format. It contains anonymized data, ensuring the privacy of the individuals and organizations involved. Each charging session record includes details such as charging duration, energy consumption, charging cost, station ID, site information, and driver information.

Analysis Methodology: The analysis of the dataset is performed using Python and various data analysis libraries, such as Pandas, NumPy, seaborn and Matplotlib.

Results and Insights: The analysis yields valuable insights into charging behavior, power consumption, charging costs, devices (android, IOS, web) used to log charging session, and the charging pattern at various location.

Data Analysis - Electric Vehicle Charging Sessions Analysis

Data Analysis with Python - complete analysis can be found on my github account: https://github.com/awais345

Dataset: The dataset 'station_data_dataverse' is provided in a .CSV format. It contains anonymized data, ensuring the privacy of the individuals and organizations involved. Each charging session record includes details such as charging duration, energy consumption, charging cost, station ID, site information, and driver information.

Analysis Methodology: The analysis of the dataset is performed using Python and various data analysis libraries, such as Pandas, NumPy, seaborn and Matplotlib.

Results and Insights: The analysis yields valuable insights into charging behavior, power consumption, charging costs, devices (android, IOS, web) used to log charging session, and the charging pattern at various location.

Data Analysis - Electric Vehicle Charging Sessions Analysis

Data Analysis with Python - complete analysis can be found on my github account: https://github.com/awais345

Dataset: The dataset 'station_data_dataverse' is provided in a .CSV format. It contains anonymized data, ensuring the privacy of the individuals and organizations involved. Each charging session record includes details such as charging duration, energy consumption, charging cost, station ID, site information, and driver information.

Analysis Methodology: The analysis of the dataset is performed using Python and various data analysis libraries, such as Pandas, NumPy, seaborn and Matplotlib.

Results and Insights: The analysis yields valuable insights into charging behavior, power consumption, charging costs, devices (android, IOS, web) used to log charging session, and the charging pattern at various location.

Data Analysis - Electric Vehicle Charging Sessions Analysis

Зміни збережено

5.0 · 2 Reviews

Відгуки

Pre Employment Vetting [ Ratingen- Germany ]

• $55 USD

Job well done. understands task well and delivered on time.

Data Processing

Customer Support

+ ще 21

Zenab H.

@Zeejubilee

•

Islamabad, Pakistan

•

1 year ago

Поділитися

I

SUPERVISOR OF MERCHANDISE IN Würselen, Germany -- 2

• €260 EUR

Delivery on time and very professional

+ ще 20

Mario Alberto B.

@INSPECTORS

•

CIUDAD DE MEXICO, Mexico

•

2 years ago

Поділитися

Working Student

квіт., 2023 - Теперішній час

•

1 year, 8 months

FEV Europe GmbH

квіт., 2023 - Теперішній час

•

1 year, 8 months

Task Description: - Battery Cell Database management - VBA programming to create new functions for excel based database

квіт., 2023 - Теперішній час

•

1 year, 8 months

Rheinisch-Westfälische Technische Hochschule Aachen

2020 - 2023

•

3 years

Msc Automotive Engineering

Germany

2020 - 2023

•

3 years

Mehran University of Engineering and Technology Jamshoro

2012 - 2015

•

3 years

Bachelors, Mechanical Engineering

Pakistan

2012 - 2015

•

3 years

Python for Everybody

2020

Coursera

Introduction to Python Data types and basic codes

2020

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