👋 Hello! I'm Dhruvi Thakkar, a research scientist dedicated to leveraging AI and machine learning to solve real-world healthcare challenges. My work focuses on using advanced algorithms to improve medical diagnostics, explore biomedical data, and drive innovation in the healthcare sector. This serves as a portfolio showcasing my research, publications, projects, and skills.
- Programming Languages: Python, R, SQL
- Data Analysis and Manipulation: Pandas, NumPy, Scipy
- Machine Learning and AI: TensorFlow, PyTorch, scikit-learn, Keras
- Deep Learning Applications: GANs, RAG, NLP, Computer Vision
- Big Data & Cloud: Hadoop, Spark, Azure
- Visualization Tools: Matplotlib, Seaborn, Tableau, Power BI
- Medical Imaging: MRI processing, EEG analysis
- Research Areas: Alzheimer’s Disease, PCOS, Maternal Health, Epilepsy Detection
- Predicting Maternal Health Risks: Published in IEEE with 94.32% accuracy in risk prediction using decision tree models.
- PCOS Diagnosis with Machine Learning: Published in International Journal of Intelligent Systems and Applications in Engineering, emphasizing feature selection for better classification.
- Alzheimer’s Disease Classification: Paper under review, achieving 98.8% accuracy with DenseNet for cognitive impairment stages.
- Leveraged deep learning models (DenseNet, ResNet, MobileNet) to classify cognitive impairment stages, achieving state-of-the-art results.
- Combined BrainGNN and Graph Fourier Transform for EEG analysis, achieving 99.97% accuracy in identifying seizures.
- Explored correlations between pregnancy and diabetes, achieving 98.26% predictive accuracy using ML models.
- Developed a system to diagnose PCOS by integrating feature selection and machine learning classifiers.
- Email: thakkardhruvi210@gmail.com
- Twitter: @dhruvicodes
- LinkedIn: Dhruvi Thakkar
I'm always open to feedback and collaboration opportunities! Whether it’s discussing a research paper, exploring a new project, or connecting over AI-driven healthcare innovations, feel free to reach out.