Amr M. Profile

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5.0

(4 ulasan)

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E-mel berjaya disahkan.

$10 USD / jam

giza, egypt,

egypt

$10 USD / jam

Sekarang jam 5:03 PG di sini

Menyertai Julai 1, 2017

0 Cadangan

Amr M.

@EngAmr93

5.0

(4 ulasan)

2.1

100%

$10 USD / jam

giza, egypt,

egypt

$10 USD / jam

100%

Pekerjaan Disiapkan

100%

Mengikut Bajet

100%

Tepat Pada Masa

20%

Kadar Upah Semula

Data Analyst | Process Control Engineer

My name is Amr. I studied Metallurgical and Materials Engineering. I worked as Quality Engineer at CIC (Cairo Inspection Company) and then as a Process Control Engineer at Ezz Steel. Following I started my work to be a data analyst in 2021 by participating in the initiative of the Ministry of Communication in Egypt. I was awarded 2 data analysis nano degrees from Udacity: • Data Analysis Professional Nano Degree. • Advanced Data Analysis Nano Degree. This encouraged me to learn more and more in my continuous learning journey. So, I spent a lot of time learning on 365 Data Science, Data Camp, and Coursera platforms, and reading the basic books for Data Science and statistical analysis. The skills that I acquired till now include: • R and its packages. • Minitab. • Microsoft Excel • Google Sheets • Python • Numpy • Pandas • Matplotlib • Seaborn • Probability • Statistics • R Programming • Microsft Power BI • Tableau This helped me land some jobs on Freelancer and Upwork platforms and got 5-star reviews.

Lihat semua Data Processing Executives dalam Egypt

Hubungi Amr M. tentang pekerjaan anda

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Portfolio

A UK-based online retail store has captured the sales data for different products for the period of one year (Nov 2016 to Dec 2017). The organization sells gifts primarily on the online platform. The customers who make a purchase consume directly for themselves. There are small businesses that buy in bulk and sell to other customers through the retail outlet channel.
The job objective is to find significant customers for the business who make high purchases of their favorite products using clustering analysis in R studio and deliver an output via R Markdown.

Clustering analysis of E-commerce customers

This Specialization has 7 courses and a Capstone project. The courses are:
- Foundations: Data, Data, everywhere.
- Ask questions to make data-driven decisions.
- Prepare data for exploration.
- Process data from dirty to clean.
- Analyze data to answer questions.
- Share data through the art of visualization.
- Data analysis with R programming.

The Skills acquired include:

Data Aggregation | Data Analytics | Data Calculations | Data Cleaning | Data Ethics
Data Visualization | Presentation | Problem Solving | R | Spreadsheets | SQL | Structured thinking

Google Data Analytics Certificate

Business Analyst career track with 10 courses listed below:
o Introduction to Data and Data Science
o Data Literacy
o Data Strategy
o Introduction to Excel
o Data Analysis with Excel Pivot tables
o Advanced Microsoft Excel
o Statistics
o The Complete Data Visualization Course with Python, R, Tableau, and Excel
o Introduction to R programming
o Mathematics

Business Analyst career track certificate

This report summarizes the steps of work during Udacity project on Data Wrangling. This is the 2nd technical project in the data analysis professional track sponsored by Egy FWD initiative. The project includes gathering data from different sources:
1. From a CSV file (Enhanced twitter archive file downloaded from the internet – sent by the account of “WeRateDogs”. They already have downloaded it from twitter archive. )
2. By building a query using Twitter API.
3. Image Predictions File that predict dog images using neural networks that are fed to it from twitter archive file.
The gathered data is about tweets from a Twitter account named “WeRateDogs”. This account uploads images of dogs and text that includes a rating. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10. 11/10, 12/10, 13/10, etc. Why? Because "they're good dogs Brent."

Wrangle and analyze data

Use Python code to get some statistics for Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC.
The dataset include:
- Start Time (e.g., 2017-01-01 00:07:57)
- End Time (e.g., 2017-01-01 00:20:53)
- Trip Duration (in seconds - e.g., 776)
- Start Station (e.g., Broadway & Barry Ave)
- End Station (e.g., Sedgwick St & North Ave)
- User Type (Subscriber or Customer)
- Gender
- Birth Year
The statistics include:
#1 Popular times of travel (i.e., occurs most often in the start time)
#2 Popular stations and trip
#3 Trip duration
#4 User info

Python code to analyze Bikeshare data

The nanodegree from Udacity include 6 parts & 2 projects:
The parts are:
- Introduction to the Program
- Introduction to Python
- Introduction to Data Analysis
- Data Wrangling
- Digital Freelancing - Intro
- Digital Freelancing - Pro
The 3 projects are:
1. Analyzing the BikeShare data using python.
2. Wrangle and analyze WeRateDogs data by scrapping the data through Tweeter API then wrangle and clean the data using Pandas library (The cleaning process is documented and the issues found during the data cleaning is identified and corrected) then after cleaning the data is simply visualized to get some insights.

Data Analysis Professional Nano Degree

Clustering analysis of E-commerce customers

Google Data Analytics Certificate

Business Analyst career track certificate

Wrangle and analyze data

Python code to analyze Bikeshare data

Data Analysis Professional Nano Degree

Ulasan

Perubahan disimpan

Menunjukkan 1 - 4 daripada 4 ulasan

Tapis ulasan mengikut:

5.0

$50.00 USD

Project for Amr M. -- 3

always on time and the work is always well done as well.

Data Processing

Excel

Statistics

R Programming Language

+1 lagi

Mahra A.

@mhrals

•

2 tahun yang lalu

5.0

$20.00 USD

Project for Amr M. -- 2

Everything delivered on time and was done perfectly.

Data Processing

Excel

Statistics

R Programming Language

+1 lagi

Mahra A.

@mhrals

•

2 tahun yang lalu

5.0

$15.00 USD

Project for Amr M.

one of the best freelancers , he has done the project on time and was done perfectly.

Data Processing

Excel

Statistics

R Programming Language

+1 lagi

Mahra A.

@mhrals

•

2 tahun yang lalu

5.0

$15.00 USD

Data Science with R programming + assessment

deleived the work in time and was done perfectly , good comunication and fast replies , will defenitely work with him again.

Data Processing

Excel

Statistics

R Programming Language

Statistical Analysis

Mahra A.

@mhrals

•

2 tahun yang lalu

Pengalaman

EZZ Flat Steel Company

Okt 2017 - Hari ini

To ensure that work instructions is applied. To analyse the production database for control and improvement.

Freelancer

Mac 2022 - Hari ini

Use the data analytics skills acquired from my nano degrees in Udacity and Google Data analytics program to make statistical analysis, business analysis, and more using SQL, spreadsheets, Python, and R programming.

CIC (Cairo Inspection Company)

Okt 2016 - Jul 2017 (9 bulan, 1 hari)

To prepare the devices, make inspection plans, perform inspections on welds and metallic structures, and report the results.

Pendidikan

Bachelors degree in Metallurgical and Materials Engineering.

Suez Canal University,

Egypt

2011 - 2016

(5 tahun)

Kelayakan

Udacity

2021

The program contains: - Python Programming. Here I use pandas and matplotlib libraries to analyze CO2 emissions data. - Statistics. - Probability. - A/B testing project. - Data Visualization using matplotlib and seaborn libraries.

365 Data Science

2021

The track consists of 10 courses (3 of them are elective and 7 are mandatory): o Introduction to Data and Data Science o Data Literacy o Data Strategy o Introduction to Excel o Data Analysis with Excel Pivot tables o Advanced Microsoft Excel o Statistics o The Complete Data Visualization Course with Python, R, Tableau, and Excel o Introduction to R programming o Mathematics

Macquarie University on Coursera

2021

The course illustrates the Power Query and Power Pivot tools in excel and ended with a dashboard creation in Microsoft Power BI. Skill include Power Query | Power Pivot | M-Language | DAX Language | Power BI.