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$15 USD / hora
Bandeira do(a) EGYPT
minia, egypt
$15 USD / hora
Atualmente, está 9:38 PM aqui
Ingressou em dezembro 19, 2018
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Mohammed M.

@Medhat96

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$15 USD / hora
Bandeira do(a) EGYPT
minia, egypt
$15 USD / hora
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Data Scientist

A Computer and Systems Engineer. More than 3 years of experience. ________________________________________________________________________ ✅ Python ✅ Machine Learning ✅ Deep Learning ✅ Data Analysis ✅ Natural Language Processing (NLP) ✅ Computer Vision ✅ OpenCV ✅ Scikit-learn ✅Tensorflow ✅ Keras ✅ PyTorch ✅ NLTK ✅ Sentiment analysis ✅Web scraping ✅ SQL ✅ Flask ✅ Power BI ✅ Tableau
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Portfólio

7763743
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
7763743
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system
This project contains the analysis, visualizations and extracting conclusions for a bikeshare system in the US. Data is split into months starting from the beginning of 2017 until few months ago. Data consists of more than 17 features and 6.5M records which is relatively huge number. It doesn't require a lot of work to update the analysis when needed. The project consists of the following parts/stages: - Merging the data files into one file to make it able to be analyzed. - Exploratory data analysis EDA to build preliminary insights about the data and how to analyze it. - Data cleaning and wrangling like handling missing values and outliers to prepare it for informative analysis. - Analyzing the data cleaned from previous stages. - Data visualization using informative plots making it easy for anyone to get conclusions built from the analysis. I've attached screenshots of the project
Data Analysis and Visualization for bikeshare system

Avaliações

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Experiência

Data Scientist

Wakeb_Data
fev. 2022 - Atual
I work as a data scientist at wakeb_data. I work on large projects in data science fields such as computer vision and NLP.

Data Scientist

Self Employed
ago. 2020 - Atual
I perform data science tasks and services using python and its frameworks. I also work on data science research projects for clients and help them with online education.

Educação

Bachelor's of Computer and Systems Engineering

Minia University, Egypt 2014 - 2019
(5 anos)

Qualificações

Deep Learning Nanodegree

Udacity
2021
A group of courses about deep learning theoretical concepts and practical skills using python and pytorch.

Machine Learning Nanodergree

Udemy
2020
A collective course about machine learning theoretical concepts and practical skills using python and scikit-learn.

Data Analysis Nanodegree

Udacity
2020
A 3-months collective project-based data analysis program. I already had experience so I finished it in 3 weeks.

Contate Mohammed M. sobre seu trabalho

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Principais Habilidades

Python
SQL
Web Scraping
Machine Learning (ML)
Tableau

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