AI Enthusiast & Mathematics Graduate
Passionate about artificial intelligence, machine learning, and creating innovative solutions that bridge mathematics and technology.
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Advanced computer vision system for analyzing tennis matches, tracking player movements, and providing performance insights using machine learning algorithms.
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Implementation of stable diffusion model for generating high-quality images from text descriptions using deep learning and neural networks.
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Intelligent conversational AI for food ordering with natural language processing, order management, and seamless user experience.
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Sentiment-based trading algorithm that analyzes market sentiment and news data to make automated trading decisions using machine learning.
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Implementation of fundamental machine learning algorithms from scratch using Python, demonstrating deep understanding of mathematical concepts.
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Currently pursuing advanced studies in Scientific Computing, focusing on Advanced methods in AI, efficient methods in NLP, Advanced applied mathematics, and Computer vision.
Completed undergraduate studies in Mathematics, building a strong foundation in mathematical concepts, statistical analysis, and problem-solving techniques that support AI and ML applications.
Hands-on experience building AI projects including chatbots, computer vision applications, and exploring emerging technologies.
Solid Python programming skills with experience in data manipulation, analysis, and basic machine learning implementations.
Understanding of machine learning concepts, algorithms, and frameworks with experience in building basic models and computer vision projects.
Strong mathematical background from my degree in Mathematics, providing a solid foundation for understanding AI and ML concepts.
Familiar with essential development tools and environments commonly used in data science and machine learning projects.
Experience in exploring datasets, creating visualizations, and extracting insights from data using various analytical tools.