Salma
About Me
I am an AI and Data Science Engineer with a passion for harnessing the power of data and artificial intelligence to solve complex real-world problems. With a strong foundation in Python programming, statistics, and analysis, I specialize in developing innovative machine learning models, deploying AI systems, and extracting valuable insights from vast datasets. My expertise spans across areas such as supervised and unsupervised learning, deep learning, natural language processing, and computer vision, using tools like Python, TensorFlow, PyTorch, and scikit-learn. I am adept at building end-to-end pipelines, from data cleaning and preprocessing to model development, evaluation, and deployment in production environments. I stay abreast of cutting-edge trends such as generative AI, large language models, and reinforcement learning to design intelligent solutions tailored to diverse business needs. I prioritize collaboration and communication, working closely with cross-functional teams to translate technical solutions into actionable outcomes that drive growth and efficiency. My problem-solving mindset, combined with a passion for continuous learning, fuels my dedication to developing AI-powered applications that empower organizations, enhance user experiences, and contribute to technological innovation.
My teaching style
My teaching style is interactive, practical, and student-focused. I emphasize breaking complex concepts into simple, digestible parts, using real-world examples to ensure clarity and engagement. I encourage hands-on learning through coding exercises, projects, and problem-solving, enabling students to apply theory in practice.
My past experience
4 years
My Proudest Achievements
Mentoring junior engineers and data scientists, publishing a research paper, and developing a predictive deep learning model
I teach
- Coding
- Power BI
- Python
- Machine Learning
My Results and Achievements
- A+ in all subjects I applied for