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$20 USD / hour
Flag of EG
ashmoun, egypt
$20 USD / hour
It's currently 10:24 AM here
Joined December 22, 2018
0 Recommendations

Omar Ahmad-Magdy E.

@omarelnahas500

annual-level-two.svgpreferred-freelancer-v2.svg
5.0 (18 reviews)
5.5
5.5
$20 USD / hour
Flag of EG
ashmoun, egypt
$20 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
33%
Repeat Hire Rate

Data Analyst

I am Data Analyst experienced in: • Data Assessing and cleaning • Data Visualization • Statistical Analysis • Python Development • Back-end Development. • Data Engineering. I am currently a computer science undergraduate student in my senior year, I am willing to learn more and eager to cope up with the latest technologies.
Freelancer Python Developers Egypt

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Portfolio Items

Teams/cup organizer which is regarded as the central agent that has all details about current and future matches including:

Match Time.
Match Score.
Match Teams.
Match Referee. There will be 16 teams participating in the cup. Before playing a match between any two teams, the central agent will tell these two agents with details required to begin the match including:
Opponent Team.
Match Playground.
Match Time. The two agents playing the match together will receive these details and start the match on time. There is a GUI for the central agent giving details about current and future matches to be played including:
Teams names.
Results of matches.
A number of goals were scored and received. There is another GUI created for every match between two agents playing together that shows the time remaining and the current result. For every goal of any team scores, the central agent should be informed to update its data.
Football Matches with Ai Agents
Teams/cup organizer which is regarded as the central agent that has all details about current and future matches including:

Match Time.
Match Score.
Match Teams.
Match Referee. There will be 16 teams participating in the cup. Before playing a match between any two teams, the central agent will tell these two agents with details required to begin the match including:
Opponent Team.
Match Playground.
Match Time. The two agents playing the match together will receive these details and start the match on time. There is a GUI for the central agent giving details about current and future matches to be played including:
Teams names.
Results of matches.
A number of goals were scored and received. There is another GUI created for every match between two agents playing together that shows the time remaining and the current result. For every goal of any team scores, the central agent should be informed to update its data.
Football Matches with Ai Agents
Teams/cup organizer which is regarded as the central agent that has all details about current and future matches including:

Match Time.
Match Score.
Match Teams.
Match Referee. There will be 16 teams participating in the cup. Before playing a match between any two teams, the central agent will tell these two agents with details required to begin the match including:
Opponent Team.
Match Playground.
Match Time. The two agents playing the match together will receive these details and start the match on time. There is a GUI for the central agent giving details about current and future matches to be played including:
Teams names.
Results of matches.
A number of goals were scored and received. There is another GUI created for every match between two agents playing together that shows the time remaining and the current result. For every goal of any team scores, the central agent should be informed to update its data.
Football Matches with Ai Agents
Teams/cup organizer which is regarded as the central agent that has all details about current and future matches including:

Match Time.
Match Score.
Match Teams.
Match Referee. There will be 16 teams participating in the cup. Before playing a match between any two teams, the central agent will tell these two agents with details required to begin the match including:
Opponent Team.
Match Playground.
Match Time. The two agents playing the match together will receive these details and start the match on time. There is a GUI for the central agent giving details about current and future matches to be played including:
Teams names.
Results of matches.
A number of goals were scored and received. There is another GUI created for every match between two agents playing together that shows the time remaining and the current result. For every goal of any team scores, the central agent should be informed to update its data.
Football Matches with Ai Agents
Teams/cup organizer which is regarded as the central agent that has all details about current and future matches including:

Match Time.
Match Score.
Match Teams.
Match Referee. There will be 16 teams participating in the cup. Before playing a match between any two teams, the central agent will tell these two agents with details required to begin the match including:
Opponent Team.
Match Playground.
Match Time. The two agents playing the match together will receive these details and start the match on time. There is a GUI for the central agent giving details about current and future matches to be played including:
Teams names.
Results of matches.
A number of goals were scored and received. There is another GUI created for every match between two agents playing together that shows the time remaining and the current result. For every goal of any team scores, the central agent should be informed to update its data.
Football Matches with Ai Agents
Novel Script Writer using python Tkinter
Novel Script Writer using python
Novel Script Writer using python Tkinter
Novel Script Writer using python
Novel Script Writer using python Tkinter
Novel Script Writer using python
Novel Script Writer using python Tkinter
Novel Script Writer using python
Novel Script Writer using python Tkinter
Novel Script Writer using python
Novel Script Writer using python Tkinter
Novel Script Writer using python
Novel Script Writer using python Tkinter
Novel Script Writer using python
A python program to transcribe audio to excel file of each audio in a folder using IBM Speech to text service
From Speech to Text
A python program to transcribe audio to excel file of each audio in a folder using IBM Speech to text service
From Speech to Text
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
The data used in this notebook is based on Data.gov Climate Change Topic and its US Climate Resilience Toolkit https://toolkit.climate.gov/#explore data with its explorer https://crt-climate-explorer.nemac.org/
Describing How Temperature and Precipitation have changed across years using matplotlib visualizations.
Woodmere,NY Climate Change
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
More About it on https://github.com/omarelnahas23/WeRateDogs
WeRateDogs
more about it on: https://github.com/omarelnahas23/BikeShare-Project
Bike Share
more about it on: https://github.com/omarelnahas23/BikeShare-Project
Bike Share
more about it on: https://github.com/omarelnahas23/BikeShare-Project
Bike Share

Reviews

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Showing 1 - 5 out of 17 reviews
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5.0
$40.00 USD
good job and will hire again fo sure!
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Flag of CN Zhuo M. @m163z
6 days ago
5.0
$50.00 USD
Omar provided high quality work in a short amount of time. This was the second project on which I worked with Omar and I look forward to hiring him again in the future.
Python Linux Software Architecture Data Analysis
+1 more
S
Flag of US Steven Allen W. @steveentrehub
1 month ago
5.0
$245.00 USD
Omar provided top quality work in a very short amount of time. He was very enthusiastic about providing high quality results and completing it in the time he specified. I highly recommend Omar and will be utilizing his services again.
Python Data Processing Excel Data Analysis
S
Flag of US Steven Allen W. @steveentrehub
2 months ago
5.0
$15.00 USD
Great project . Great communication.
PHP System Admin Linux Ubuntu Network Administration
M
Flag of US Marie S. @Mariasmith94
2 months ago
5.0
$20.00 USD
Quick turnaround time, and on budget. Was a pleasure.
Python Machine Learning (ML) Raspberry Pi Tensorflow Keras
J
Flag of US Josh A. @joshuazz
2 months ago

Experience

Competitor

Huawei
Oct 2019 - Nov 2020 (1 year, 1 month)
I was honored to be selected to participate in The Global Finals of Huawei ICT Practice Competition 2019-2020-cloud track and win the biggest prize of the competition with the Egypt Cloud Team. • I was asked to perform Big Data-related tasks using Huawei Cloud MapReduce Service with: o Apache HIVE o HBase o Spark o Flink o Loader as a lab exam . • I was asked to solve problems using python in national stage. as a lab exam

Qualifications

Data Analysis Professional Nano Degree

Udacity
2021
in this Nanodegree I have learned: 1- Python Basics and Data Structures. 2- Python Numpy and Pandas. 3- Matplotlib functions. 4- Data Gathering and Scarping using python. 5- Data Assessing and cleaning. 6- Data Visualization. 7- Freelancing basics. certificate: https://confirm.udacity.com/GZTEEXVW

International Computer Drivers License (ICDL,)

ICDL Arabia
2019
Gives you Skills in MS Word MS Excel MS PowerPoint MS office

Natural Language Processing with Classification and Vector Spaces

Coursera
2020
a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and c) Write a simple English to French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbor search.

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Top Skills

Python 16 Software Architecture 8 Data Analysis 8 Linux 6 Apache Hadoop 6

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