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Kullanıcı Avatarı
$25 USD / saat
   EGYPT bayrağı
aswan, egypt
$25 USD / saat
Şu anda burada saat 1:52 ÖÖ
Haziran 30, 2017 tarihinde katıldı
1 Tavsiye

Mohamed M.

@MohmedAbdelwahab

annual-level-three.svg
5,0 (14 değerlendirme)
3,6
3,6
$25 USD / saat
   EGYPT bayrağı
aswan, egypt
$25 USD / saat
%100
Tamamlanmış İş
%77
Bütçe Dahilinde
%77
Zamanında
%36
Tekrar İşe Alınma Oranı

MLOps | OpenAI | Python | Excel | VBA

Hello there, I am a highly skilled Python developer with extensive experience in MLOps, machine learning, AWS, data scraping, and OpenAI technologies. With a deep understanding of Python programming, I have developed and deployed numerous machine learning models and algorithms to solve complex business problems. Additionally, I have expertise in data scraping and have developed several scripts and tools to extract valuable information from various sources. As an expert in Excel and VBA, I have a strong track record of creating customized solutions that streamline workflows and improve business processes. I have worked on several projects involving data analysis, modeling, and visualization, utilizing Excel and VBA to deliver actionable insights to stakeholders. My experience with AWS has enabled me to develop and deploy scalable cloud-based solutions for various clients. I have expertise in various AWS services, such as EC2, S3, RDS, Lambda, and SageMaker, and have successfully implemented machine learning models on the cloud. I am also experienced in MLOps, which is the practice of deploying and managing machine learning models in production environments. I have worked on several projects involving model training, versioning, deployment, and monitoring, utilizing various MLOps tools and frameworks to ensure smooth operations. My experience with OpenAI technologies has enabled me to develop chatbots and natural language processing applications that can engage customers and provide exceptional user experiences. With a strong focus on delivering high-quality work on time, I am confident that I can help you achieve your project goals. Let's work together to bring your ideas to life. Skills: • SQL •Tableau • Power Bi • Google Studio • Python • Pandas • Numpy • Matplotlib • Scikit-learn • Tensorflow • OpenCV
Freelancer Power BI Consultants Egypt

Mohamed M. ile işiniz hakkında iletişime geçin

Sohbet üzerinden herhangi bir detayı tartışmak için giriş yapın.

Portföy Ögeleri

Business  Analysis by Power BI
Business Analysis by Power BI
In this project, canceled flights will be analyzed using airlines, states, and weekly and monthly trends based on 2015 and make a main dashboard using worksheets to analyze canceled flights, adding filters for states, airlines, and weekday as action filters.
Cancelled Flights Analysis in 2015 Dashboard
In this project, canceled flights will be analyzed using airlines, states, and weekly and monthly trends based on 2015 and make a main dashboard using worksheets to analyze canceled flights, adding filters for states, airlines, and weekday as action filters.
Cancelled Flights Analysis in 2015 Dashboard
In this project, canceled flights will be analyzed using airlines, states, and weekly and monthly trends based on 2015 and make a main dashboard using worksheets to analyze canceled flights, adding filters for states, airlines, and weekday as action filters.
Cancelled Flights Analysis in 2015 Dashboard
In this project, canceled flights will be analyzed using airlines, states, and weekly and monthly trends based on 2015 and make a main dashboard using worksheets to analyze canceled flights, adding filters for states, airlines, and weekday as action filters.
Cancelled Flights Analysis in 2015 Dashboard
In this project, canceled flights will be analyzed using airlines, states, and weekly and monthly trends based on 2015 and make a main dashboard using worksheets to analyze canceled flights, adding filters for states, airlines, and weekday as action filters.
Cancelled Flights Analysis in 2015 Dashboard
In this project, canceled flights will be analyzed using airlines, states, and weekly and monthly trends based on 2015 and make a main dashboard using worksheets to analyze canceled flights, adding filters for states, airlines, and weekday as action filters.
Cancelled Flights Analysis in 2015 Dashboard
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Bike Share Data analysis App:
In this project I make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
I build a script to import data and answer question by computing descriptive statistics of data, and create interactive experience in terminal to present these statistics.
Main functions:
1-	Load data: loads dataset.
2-	Get filter: Asks user to specify a city, month, and day to analyze.
3-	Time stats: Displays statistics on the most frequent times of travel.
4-	Station stats: Displays statistics on the most popular stations and trip.
5-	User stats: Displays statistics on bike share users.
6-	Display row data: Displays data head request.
Bike Share Data analysis App
Machine learning models comparison California Housing Data with all fine tuning of hyperparameters using scikit-learn.
Machine learning models comparison for California Housing Da
Machine learning models comparison California Housing Data with all fine tuning of hyperparameters using scikit-learn.
Machine learning models comparison for California Housing Da
Machine learning models comparison California Housing Data with all fine tuning of hyperparameters using scikit-learn.
Machine learning models comparison for California Housing Da
Machine learning models comparison California Housing Data with all fine tuning of hyperparameters using scikit-learn.
Machine learning models comparison for California Housing Da
This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. I would like to find other interesting patterns in the dataset.
TMDb movies Data Analysis
This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. I would like to find other interesting patterns in the dataset.
TMDb movies Data Analysis
This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. I would like to find other interesting patterns in the dataset.
TMDb movies Data Analysis
This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. I would like to find other interesting patterns in the dataset.
TMDb movies Data Analysis
This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. I would like to find other interesting patterns in the dataset.
TMDb movies Data Analysis
I used Power Bi to make a dashboard for Sales
Sales Analysis Dashboard - Power Bi

Değerlendirmeler

Değişiklikler kaydedildi
14 değerlendirme içinden 1 - 5 arasındakiler gösteriliyor
Değerlendirmeleri filtreleme kriteri: 5,0
₹2.000,00 INR
Hardworking person and friendly.
Power BI Microsoft PowerBI
Kullanıcı Avatarı
    bayrağı Abhishek Kumar A. @Akmanyu
2 ay önce
5,0
€110,00 EUR
Thank you for the good work and good communication.
PHP Python Software Architecture Windows Server
A
    bayrağı Andreas M. @AndreasM61267
2 ay önce
5,0
$75,00 USD
great python developer. He did very good job in time. thank you. A+++++++++++++++++++++++++++++++++++
Kullanıcı Avatarı
    bayrağı Sorratanak L. @Sorratanak
3 ay önce
5,0
$10,00 USD
Always cooperative and very good friend. Always give professional work. You can hire him blindly for your projects.
Excel Data Visualization Power BI A/B Testing
+1 daha
Kullanıcı Avatarı
    bayrağı Princewill O. @pbolali69
3 ay önce
5,0
₹5.506,00 INR
Always cooperative and very good friend. Always give professional work. You can hire him blindly for your projects. And also would hire him again.
Excel Data Visualization Power BI A/B Testing
+1 daha
Kullanıcı Avatarı
    bayrağı Saim G. @saim2105
3 ay önce

Deneyim

Data Analyst

EgyTech
Oca 2018 - Şu anda
Data Analyst

Eğitim

Bachelor of Computer Science

South Valley University, Egypt 2001 - 2006
(5 yıl)

Nitelikler

Advanced Data Analysis - NANODEGREE PROGRAM

UDACITY
2022
The course offered by Udacity, it enhance my Python, SQL and data manipulation skills while refining the ability to handle messy, complex datasets. learning to manipulate and prepare data for analysis, and create visualizations for data exploration, as well as Agile fundamentals. Finally, use my data skills to tell a story with data using Tableau. certificate link: https://confirm.udacity.com/EEQNPNWH

Professional Data Analysis - NANODEGREE PROGRAM

UDACITY
2022
This program is presented by Udacity, Advance my programming skills using python and refine My ability to work with messy, complex datasets. learning to manipulate and prepare data for analysis, and create visualizations for data exploration, as well as Agile fundamentals. Finally, use my data skills to tell a story with data. certificate link: https://confirm.udacity.com/EDHDRKGP

Mohamed M. ile işiniz hakkında iletişime geçin

Sohbet üzerinden herhangi bir detayı tartışmak için giriş yapın.

Doğrulamalar

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Önde Gelen Beceriler

Power BI 9 Excel 8 Microsoft PowerBI 8 Data Visualization 7 Python 6

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