Data scientist (R&D) @ Dell Technologies | AI Master's Graduate at the University of Ottawa, Canada | Active Freelancer
- Stock Market Prediction using the Tweets Sentiment Analysis as Additional Feature
- Customer Churn using R Language
- Market Basket Analysis (MBA)
- Mancala game using minimax alpha-beta algorithm
- Booking Website Scrapping using Selenium
- Build RDBMS using SQL Server
- Build Data Warehousing using SQL Server and R Language
- Network Intrusion Detection using Deep Learning
- Adaptive Malicious Detector on a Kafka Stream
- Feature Selection Using Clustering Methods Vs Filter-Wrapper Methods
- Build One-vs-Rest and One-vs-One strategies Based-On the Most Important Features
- Arabic Text Summarization using transformers-based Approach, and PyQt5
- Arabic Twitter Sentiment Analysis Classification
- Book Classification (Classification-Is-All-You-Need)
- Book Clustering (Clustering-Is-All-You-Need)
- iCare ChatBot
- Autocorrect-Methodologies-Evaluation
- DeepFake Generation and Detection
- Artifacts Classification inside Historical Museums
- Plant's Leaf counting using VGG16
- Bird's type classification with ResNet101
- Image Matting
- Cars Detection (Yolo5, Yolo7, Faster RCNN, Fast RCNN, RCNN, and Yolo8)
- Segmentation
- OpenPose
- DensePose Summarization and 27 Models Comparison
- Sensor Fusion
- Atari Games using Q-Learning
- Dell Hacktrick Multi-Agent Game Competition
- uOttawa:
- Virtual Fitting Room
- Ain Shams:
- Problem Solving (LeetCode - CodeForces)
- Dell Hacktrick'23 (3rd Place)
- Fully Functional DeepLearning Library (AinShamsFlow inspired by TensorFlow 1st Place) Wins the 1st Place out of 50 Teams
- BrainWheel (4th Place) Wins the 4th Place out of 233 Teams at Dell Technologies 2021
- Dell Hacktrick'22 is a Multi-Agent Reinforcement Learning Competition (6th Place) Top 6th out of 32 Teams
- TurtleBot 3 Waffle Pi Robotics Competition
- Data Science
- Computer Vision
- Machine Learning
- Natural-Language-Processing
- Cloud Analytics and Big Data
- DevOps and Deployment for Data Scientist
- Docker & Kubernetes
- Git and GitHub
- Linux
- Flask and RESTful API
- Streamlit
- AWS Use Cases
- Advanced Computer Vision
- Advanced NLP
- Time Series
- MLOPs
- Reinforcement Learning
- Self-driving Cars
- Advanced Data Structures and Algorithms
- AWS
- FWD
- Coursera
- Generative Adversarial Networks (GANs) Specialization by Sharon Zhou
- TensorFlow Developer Specialization by Laurence Moroney
- Deep Learning Specialization by Andrew Ng
- Machine Learning by Andrew Ng – Stanford University
- MIT
- Mathematics for Computer Science by Tom Leighton
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DeepFake Detection
-
Customer Churn using R Language
-
Market Basket Analysis (MBA)
-
Build RDBMS using SQL Server
-
Build Data Warehousing using SQL Server and R Language
-
Network Intrusion Detection using Deep Learning
-
Feature Selection Using Clustering Methods Vs Filter-Wrapper Methods
-
Build One-vs-Rest and One-vs-One strategies Based-On the Most Important Features
-
Arabic Text Summarization After Doing a Literature Review
-
Arabic Twitter Sentiment Analysis Classification
-
Book Classification (Classification-Is-All-You-Need)
-
Book Clustering (Clustering-Is-All-You-Need)
-
iCare ChatBot
-
Autocorrect-Methodologies-Evaluation
-
Atari Games using Q-Learning
-
Dell Hacktrick Multi Agent Game Competition
-
Fake Task Filtering Security Layer using CGAN (Conditional GAN)
-
LeetCode Problems
-
Image Matting Papers Evaluation
-
Advanced Data Analysis
-
Data Analysis Professional
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Virtual Fitting Room
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Brain-Controlled Electric Smart Wheelchair with Self-Driving Capabilities
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Plant's Leaf counting using VGG16
-
Bird's type classification with ResNet101
-
Artifacts Classification inside Historical Museums
-
Fully Functional DeepLearning Library
-
Mancala game using minimax alpha-beta algorithm
-
Desktop Application
- Memory-Management-Application-Using-QT-framework
- Process-Scheduling-Application-Using-QT-framework
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Courses:
- AWS
- Machine Learning
- Use Case 1
- Use Case 2
- Use Case 3
- Data Analytics
- Data Integration using ML
- AI-Driven Social Media Dashboard
- Machine Learning
- FWD
- Advanced Data Analysis Track
- Professional Data Analysis Track
- Week Proejects
- Coursera
- Generative Adversarial Networks (GANs) Specialization by Sharon Zhou
- TensorFlow Developer Specialization by Laurence Moroney
- Deep Learning Specialization by Andrew Ng
- Machine Learning by Andrew Ng – Stanford University
- Generative Deep Learning with TensorFlow
- Advanced Computer Vision with TensorFlow
- Custom and Distributed Training with TensorFlow
- Custom Models, Layers, and Loss Functions with TensorFlow
- Natural Language Processing with Attention Models
- Natural Language Processing with Sequence Models
- Natural Language Processing with Classification and Vector Spaces
- MIT
- Mathematics for Computer Science by Tom Leighton
- AWS