Welcome to my GitHub profile! I'm Mohamed Ashraf Khalifa, a dedicated professional specializing in data science, analytics, and machine learning engineering. With a robust academic background in Computer Science and Artificial Intelligence from Helwan University, coupled with extensive hands-on experience, I bring a wealth of expertise to any data-driven project.

• Machine Learning: Proficient in developing and deploying machine learning models for various tasks including classification, regression, and clustering.
• Deep Learning: Skilled in leveraging deep learning techniques to tackle complex problems, with proficiency in frameworks such as TensorFlow and PyTorch.
• Data Visualization: Experienced in crafting insightful visualizations using tools like Tableau, Power BI, and Excel to communicate complex insights effectively.
• Data Analysis: Capable of performing comprehensive data analysis through advanced statistical methods and exploratory data analysis to derive actionable insights.
• Programming Languages: Fluent in Python and proficient in utilizing libraries like NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn for efficient data manipulation and analysis.
• Database Management: Well-versed in SQL for data retrieval, manipulation, and database management tasks.
• Version Control: Experienced in utilizing Git for version control, collaborative development, and project management.

Here are some notable projects I've undertaken:

1. Slash_Product_Image_Classifier

   • Developed a robust image classification system to categorize product images efficiently.
   • Implemented various machine learning algorithms and assessed model performance rigorously.
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   • Repository Link: Slash_Product_Image_Classifier

2. Emotion_Detection

   • Engineered a sophisticated deep learning model to accurately detect emotions in images and videos.
   • Leveraged convolutional neural networks (CNNs) and transfer learning techniques for superior emotion recognition.
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   • Repository Link: Emotion_Detection

3. Sentiment Analysis

   • Conducted sentiment analysis on restaurant reviews to discern positive and negative sentiments effectively.
   • Employed natural language processing (NLP) techniques including text preprocessing and feature extraction for insightful analysis.
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   • Repository Link: Sentiment Analysis

• Bachelor's Degree in Computer Science and Artificial Intelligence, Helwan University.

For professional inquiries or collaboration opportunities, feel free to connect with me:

• LinkedIn: Mohamed Ashraf Khalifa
• Email: [email protected]

I'm excited to explore potential collaborations and contribute to impactful projects in the field of data science and machine learning!