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$10 USD / hour
Flag of MOROCCO
meknes, morocco
$10 USD / hour
It's currently 11:38 PM here
Joined July 25, 2023
2 Recommendations

Reda E.

@elhadfi

 4.8 (17 reviews)
4.0
4.0
85%
85%
$10 USD / hour
Flag of MOROCCO
meknes, morocco
$10 USD / hour
89%
Jobs Completed
94%
On Budget
100%
On Time
10%
Repeat Hire Rate

Full-Stack Developer | Data Scientist | AI Expert

Welcome to my profile! I'm Reda , a seasoned freelancer with a strong focus on Python development. Armed with extensive knowledge and hands-on experience, I specialize in crafting innovative solutions that span various domains. My expertise in Python extends to the realms of deep learning, where I have successfully executed projects using TensorFlow, Keras, and Scikit-learn. Key Skills: ✅ Python Development ✅ Deep Learning: TensorFlow, Keras ✅ Machine Learning: Scikit-learn,Numpy ✅ Automation and Scraping ✅ Web Development: MERN Stack (MongoDB, Express.js, React, Node.js) ✅ JavaScript, TypeScript, Next.js, Redux ✅ Backend: Express.js, Node.js, Flask, FastApi, RestApi, SQL, UML ✅ Database: MySQL, Postgresql, MongoDB, SQL server In the world of Python, I am not just a coder; I am an automation enthusiast. From developing intricate algorithms to automating complex processes, I bring efficiency to every project. My ability to seamlessly integrate cutting-edge technologies into my work ensures that my solutions are not only functional but also forward-looking. On the web development front, I have a solid foundation with over 3 years of experience in the MERN stack, and I have expanded my toolkit to include Next.js, a powerful React framework. My proficiency in JavaScript, TypeScript, and the latest web technologies allows me to create dynamic and responsive web applications. Whether it's building robust APIs, designing intuitive user interfaces, or implementing state management with Redux, I am dedicated to delivering solutions that exceed expectations. In addition to my technical skills, I am committed to staying ahead of the curve. I continually explore and incorporate the latest technologies, providing clients with solutions that are not just up to par but future-proof. If you're seeking a Python expert and a seasoned web developer with a diverse skill set, look no further. I am here to bring your ideas to life with a blend of expertise, innovation, and a commitment to excellence. Feel free to contact me.
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Portfolio

11511368
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
11511324
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
11511292
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver
11511368
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
11511324
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
11511292
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver

Reviews

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Showing 1 - 5 out of 17 reviews
Filter reviews by:
5.0
$120.00 USD
School Data Scraper Chrome Extension
One of my best developers, He understand my project very quickly, I will hire him again and again. Thanks Reda
PHP
JavaScript
Web Scraping
Google Chrome
SOAP API
User Avatar
Flag of Atef A.
@EnjazTech
•
1 month ago
5.0
€30.00 EUR
Scrapping a lot of leads to Google Sheets
Reda est parfait, j’avais vu un Freelancer aussi efficace 10/10
Data Entry
Excel
Web Scraping
Web Search
Data Mining
User Avatar
Flag of Theo C.
@nestalyon
•
2 months ago
5.0
₹1,000.00 INR
variable reduction and Evaluating machine learning algorithm performance for soil salinity mapping
It was my second project with him and it was great experience and he is so good at his work with good communication.
PHP
Website Design
Graphic Design
WordPress
HTML
User Avatar
Flag of Manita -.
@mitagodara175
•
3 months ago
4.2
$50.00 USD
Project 37812357 has been deleted
Hope we can work together any other time.
D
Flag of Dan Q.
@dan062
•
3 months ago
5.0
€150.00 EUR
I'm looking for help with implementing 2 algorithms in my own newly created library in C
Very communicative and cooperative person. Highly recommended
C Programming
Matlab and Mathematica
Algorithm
X
Flag of Luke C.
@xazins
•
3 months ago

Experience

DATA SCIENTIST

experio
Jun 2023 - Present
Automated Table Detection & Information Extraction Project: Implemented a robust solution using CNNs for precise table identification in images. Integrated OCR, specifically Tesseract, to extract structured data from recognized tables. Achieved high accuracy, streamlining workflows for efficient handling of diverse tabular information. The project underscores my expertise in deep learning, computer vision, and effective data extraction.

Education

DATA ENGINEER

National Institute of Posts and Telecommunications, Morocco 2022 - 2023
(1 year)

Mathematics, physics and computer science

Morocco 2019 - 2021
(2 years)

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Top Skills

Python 8
JavaScript 5
Software Architecture 4
PHP 2
C Programming 2

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