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@alishbanaz
Self-taught Data Scientist passionate about AI and real-world solutions.
I'm a self-taught Data Scientist with a passion for solving real-world problems using AI. I specialize in building machine learning and deep learning models, taking projects from data cleaning and preprocessing to training and deploying them into real-time applications using tools like Streamlit and Flask.
Throughout my journey, I have designed, built, and deployed multiple machine learning models, focusing on healthcare predictions and real-time applications. My projects include emotion detection using CNNs, breast cancer prediction, and sentiment analysis, all aimed at making impactful contributions to society. I am always exploring new ways to enhance model performance and usability.
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Work history, roles, and key accomplishments
Self-Employed
Designed, built, and deployed multiple machine learning and deep learning models, focusing on real-world usability and clear UX. Worked on healthcare prediction (diabetes, breast cancer), facial emotion detection, and object recognition.
Degrees, certifications, and relevant coursework
FSc Pre-Medical, Pre-Medical
Completed FSc Pre-Medical studies, gaining foundational knowledge in science subjects. This education provided a strong base for analytical thinking and problem-solving.
Data Science Specialization, Data Science
Acquired comprehensive skills in Data Science through self-taught online learning and projects. Focused on machine learning, deep learning, data cleaning, feature engineering, and model deployment.
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