I am a passionate Researcher specializing in Trustworthy AI and Healthcare AI. My focus is on Data Science and AI Research.
AI/ML Researcher | Data Scientist | Trustworthy AI | AI in Healthcare | Evolutionary Computing | Affective Computing
Data Engineering & Pipelines
- airflow-demo – heart_risk_pred_pipeline using Airflow
- pdfchat-rag - a modular, containerized application that enables semantic search and chat over PDF documents using RAG. Built with Flask, Celery, Ollama, ChromaDB
AI/ML in Healthcare
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MicroRNA-Signatures-for-Neurodegenerative-Diseases – Analysis for identifying microRNA signatures associated with various neurodegenerative diseases using publicly available gene expression datasets.
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microRNA-dementia-risk-prediction – Machine learning system for predicting dementia risk using serum miRNA biomarkers.
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ML-for-Cardiovascular-Disease-Diagnosis – Comparison of performance of various ML models on binary classification of cardiovascular disease (CVD) using four distinct public datasets. (Aiflow)
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spirometry-risk-prediction-nhanes - Implementation of segmented regression to model spirometry measures with Exploratoory Data Analysis EDA, feature engineering for clinical data interpretation.
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multiomics-survival-prediction - Predicting survival in head and neck cancer patients using clinical data, genetic information, and CT scan analysis. Combines multiple data types to build better prognostic models.
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SmokingStatusPrediction4COPD - Supplimentary Information for the paper: Development of a Deep Learning Model to Predict Smoking Status in Patients with Chronic Obstructive Pulmonary Disease: A Secondary Analysis of Cross-sectional National Survey
Misc
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ETRI-Human-Understanding-AI-Paper-Competition - About EDA, Preprocessign and Model Training code for The 2nd ETRI Human Understanding Artificial Intelligence Paper Competition.
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DSS_challenges - Projects for Data Science Syndicate Challenges
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onedr - A lightweight python library for drone control using MAVLINK.