Headline
AI & ML Student Building Intelligent Systems & ML Pipelines
About
Artificial Intelligence and Machine Learning student with strong foundations in Python, Java, SQL, Machine Learning, Deep Learning, and NLP. Skilled in building end-to-end ML pipelines, data analysis, and intelligent systems. Passionate about applying AI to healthcare, NLP, and real-world problem solving.
Experience
Education
Projects
EEG-Based Epilepsy & Depression Detection System
Built an ML pipeline for EEG signal-based neurological disorder detection. Applied preprocessing and feature extraction techniques. Developed classification models for prediction.
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SLM-Based Mental Health Insight System
Developed an NLP system using Small Language Models. Performed preprocessing and feature extraction. Trained machine learning models on domain datasets.
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Portfolio
Comorbidity ananlysis of epilepsy and depression using EEG signals
Developed an end-to-end signal processing and machine learning pipeline to analyze electroencephalogram (EEG) signals, investigating shared neurobiological patterns between epilepsy and depression
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