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Felhasználó avatár

Ashraf M.

@Ashraf714031

monthly-level-two.svgverified-v2.svgpreferred-freelancer-v3.svg
5,0
52
6,4
6,4
100%

Machine Learning & Deep Learning Eng.|Data analyst

$70 USD / óra
・
zászlója
Egypt (9:40 de.)
・
Ekkor csatlakozott: március 14, 2022
$70 USD / óra
・
I'm a Google and IBM-certified Machine Learning Engineer | Data analyst Professional with 11 Years of Experience in Machine Learning, Deep Learning, Data Analytics, and Visualization. Having an excellent understanding and command of platforms for effective Machine learning, Deep learning, and data analysis including : I can provide you best quality services in the following ★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★ ★ ★ Computer Vision ★ Object Detection ★ Natural Language Processing ★ Deep learning ★ Machine learning ★ Artificial intelligence ★ Classification ★ Regression ★ Image Classification ★ python ★ Data Analysis ★ Data Visualization ★ Tableau ★ Power Bi ★ Excel
Hitelesítések
Határidőre
100%
Költségvetésen belül
100%
Elfogadási arány
81%
Ismételt megbízási arány
30%
Freelancer Python Developers Egypt
Az összes Python Developers mutatása itt: Egypt

Portfólió

Portfólió

11400787
Built a model to detect network vulnerabilities using machine learning and explained predictions with SHAP values. CyberGuard: Developed a machine learning model for network vulnerability detection, enabling real-time threat analysis and proactive defense. Utilized SHAP values for explainability, making model decisions transparent. Enhanced network security by identifying vulnerabilities and their root causes.
Network Threat Detect AI
11390722
In this project, I implemented a variety of deep learning models for network anomaly detection, a critical component of cybersecurity. I tackled this challenge by employing Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and the TabNet Classifier, each suited to different aspects of network data analysis. By implementing these diverse deep learning models, I aimed to comprehensively evaluate various approaches to network anomaly detection, contributing to improved cybersecurity defenses against potential network security threats.
Network Anomaly Detection with DL
11281311
Our "Articles Classification" project showcases the remarkable synergy of advanced machine learning techniques and the vast world of textual content. Using cutting-edge natural language processing (NLP) models and deep learning algorithms, we've developed a sophisticated system capable of automatically categorizing articles with pinpoint accuracy. This initiative transcends mere AI innovation; it's about efficient knowledge management and information retrieval. Our model empowers businesses, researchers, and content creators to effortlessly organize and access vast article libraries, boosting productivity and insights. It stands as a testament to how AI can streamline the information age, enhancing our ability to navigate and harness the wealth of knowledge at our fingertips. Join us on this journey as we redefine the way we classify, access, and leverage textual content, transforming industries and expanding our collective understanding.
Articles Classification
11281227
Our "Car Detection by YOLO Object Detector" project exemplifies the fusion of state-of-the-art computer vision technology and real-world applications. By harnessing the power of YOLO (You Only Look Once), a cutting-edge object detection algorithm, we've created a robust system that can instantly and accurately identify vehicles in images and videos. This project isn't just about AI innovation; it's about enhancing safety and efficiency in a rapidly evolving world. Our YOLO-based model contributes to various domains, from traffic management and surveillance to autonomous driving. It showcases how advanced computer vision can transform industries by providing rapid, precise insights. Join us in exploring the limitless possibilities of YOLO and revolutionizing the way we interact with vehicles and transportation systems.
Car Detection by YOLO Object Detector
11281221
Our "Brain Tumor Detection" project is a pioneering example of how cutting-edge technology, particularly TensorFlow, can be harnessed for critical healthcare applications. With TensorFlow, a powerful deep learning framework, we've crafted a groundbreaking solution to identify brain tumors swiftly and accurately from medical imaging data. Using convolutional neural networks (CNNs) and extensive datasets, we've trained our model to recognize even the most subtle anomalies in brain scans, ensuring early diagnosis and intervention. This fusion of medical expertise and TensorFlow's computational prowess demonstrates the potential for AI in healthcare. Join us in celebrating this remarkable synergy of technology and compassion, as we continue to advance the frontiers of brain tumor detection for improved patient care and outcomes.
Brain Tumor Detection
11281201
Our "Sentiment Analysis" project epitomizes the power of data-driven insights in deciphering human emotions and opinions. Using advanced Natural Language Processing (NLP) techniques, we've developed a sentiment analysis system capable of discerning sentiments - positive, negative, or neutral - from vast streams of text data. This project is not just about algorithms; it's about understanding the pulse of society. We empower businesses, researchers, and individuals with the ability to gauge public sentiment, guiding decision-making, product development, and marketing strategies. In an era where data fuels innovation, our sentiment analysis tool becomes a vital compass for navigating the intricate landscape of human emotions, transforming unstructured text into actionable intelligence. Join us in harnessing the power of words to make informed choices and drive success.
Sentimental analysis
11400787
Built a model to detect network vulnerabilities using machine learning and explained predictions with SHAP values. CyberGuard: Developed a machine learning model for network vulnerability detection, enabling real-time threat analysis and proactive defense. Utilized SHAP values for explainability, making model decisions transparent. Enhanced network security by identifying vulnerabilities and their root causes.
Network Threat Detect AI
11390722
In this project, I implemented a variety of deep learning models for network anomaly detection, a critical component of cybersecurity. I tackled this challenge by employing Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and the TabNet Classifier, each suited to different aspects of network data analysis. By implementing these diverse deep learning models, I aimed to comprehensively evaluate various approaches to network anomaly detection, contributing to improved cybersecurity defenses against potential network security threats.
Network Anomaly Detection with DL
11281311
Our "Articles Classification" project showcases the remarkable synergy of advanced machine learning techniques and the vast world of textual content. Using cutting-edge natural language processing (NLP) models and deep learning algorithms, we've developed a sophisticated system capable of automatically categorizing articles with pinpoint accuracy. This initiative transcends mere AI innovation; it's about efficient knowledge management and information retrieval. Our model empowers businesses, researchers, and content creators to effortlessly organize and access vast article libraries, boosting productivity and insights. It stands as a testament to how AI can streamline the information age, enhancing our ability to navigate and harness the wealth of knowledge at our fingertips. Join us on this journey as we redefine the way we classify, access, and leverage textual content, transforming industries and expanding our collective understanding.
Articles Classification
11281227
Our "Car Detection by YOLO Object Detector" project exemplifies the fusion of state-of-the-art computer vision technology and real-world applications. By harnessing the power of YOLO (You Only Look Once), a cutting-edge object detection algorithm, we've created a robust system that can instantly and accurately identify vehicles in images and videos. This project isn't just about AI innovation; it's about enhancing safety and efficiency in a rapidly evolving world. Our YOLO-based model contributes to various domains, from traffic management and surveillance to autonomous driving. It showcases how advanced computer vision can transform industries by providing rapid, precise insights. Join us in exploring the limitless possibilities of YOLO and revolutionizing the way we interact with vehicles and transportation systems.
Car Detection by YOLO Object Detector
11281221
Our "Brain Tumor Detection" project is a pioneering example of how cutting-edge technology, particularly TensorFlow, can be harnessed for critical healthcare applications. With TensorFlow, a powerful deep learning framework, we've crafted a groundbreaking solution to identify brain tumors swiftly and accurately from medical imaging data. Using convolutional neural networks (CNNs) and extensive datasets, we've trained our model to recognize even the most subtle anomalies in brain scans, ensuring early diagnosis and intervention. This fusion of medical expertise and TensorFlow's computational prowess demonstrates the potential for AI in healthcare. Join us in celebrating this remarkable synergy of technology and compassion, as we continue to advance the frontiers of brain tumor detection for improved patient care and outcomes.
Brain Tumor Detection
11281201
Our "Sentiment Analysis" project epitomizes the power of data-driven insights in deciphering human emotions and opinions. Using advanced Natural Language Processing (NLP) techniques, we've developed a sentiment analysis system capable of discerning sentiments - positive, negative, or neutral - from vast streams of text data. This project is not just about algorithms; it's about understanding the pulse of society. We empower businesses, researchers, and individuals with the ability to gauge public sentiment, guiding decision-making, product development, and marketing strategies. In an era where data fuels innovation, our sentiment analysis tool becomes a vital compass for navigating the intricate landscape of human emotions, transforming unstructured text into actionable intelligence. Join us in harnessing the power of words to make informed choices and drive success.
Sentimental analysis
Változtatások elmentve
5.0 · 52 Reviews
Értékelések
S
IoT Anomaly Detection System Design -- 2 • £350 GBP
He is awesome. Patient and understands what he is doing
Sarah H.
@SarahFahad333
•
zászlója
Cardiff, United Kingdom
•
3 hónappal ezelőtt
Megosztás
I
ML and deep learning • $400 USD
Professional work - Time delivery
A A.
@Iiits96
•
zászlója
Jeddah, Saudi Arabia
•
3 hónappal ezelőtt
Megosztás
Felhasználó avatár
Photo Processing Automation with Google Cloud/Vision • $640 USD
Ashraf communicated well to understand the project and clarify details while working, and he had no problem achieving the project goal. I am very satisfied with the result.
Enrico M.
@enricom365
•
zászlója
San Jose, United States
•
4 hónappal ezelőtt
Megosztás
Felhasználó avatár
Deep learning model • $145,50 USD
He is very good, and delivered accurate work before time
Jaw B.
@nursek374
•
zászlója
Al Hoffof, Saudi Arabia
•
5 hónappal ezelőtt
Megosztás
A
Sentiment Analysis on CSV Data • $150 CAD
Ashraf is a great person , he assisted me with my project, demonstrating speed, efficiency, and dedication.
Mohammed A.
@Alnadabi87
•
zászlója
London, Canada
•
6 hónappal ezelőtt
Megosztás
Tapasztalat
Data Analyst
szept., 2011 - jan., 2022
•
10 év, 4 hónap
Eipico
szept., 2011 - jan., 2022
•
10 év, 4 hónap
Write SQL to query a single table Write SQL to query multiple tables Apply inferential statistics and probability to real-world scenarios using Python Create and analyze the results of hypothesis testing Create and analyze A/B test results Build regression models in Python Build visualizations using different design elements Use visualizations to explore your data Use visualizations to communicate your insights Data Visualization with Python
szept., 2011 - jan., 2022
•
10 év, 4 hónap
Tanulmányok
Assiut University
2002 - 2007
•
5 év
Bachelor of Veterinary Medicine
zászlója
Egypt
2002 - 2007
•
5 év
Végzettségek
IBM Data Analyst Professional
2021
IBM
Data Visualization and Dashboards with Excel and Cognos Introduction to Data Analytics Data Visualization with Python Excel Basics for Data Analysis Databases and SQL for Data Science with Python IBM Data Analyst Capstone Project Data Analysis with Python Python Project for Data Science Python for Data Science, AI & Development
2021
Képesítések
P
Preferred Freelancer Program SLA
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