I'm a passionate data scientist and machine learning enthusiast with a drive for uncovering insights through data and building predictive models. My work focuses on pattern recognition, predictive analytics, and computer vision.
- Data Analysis & Modeling: Python, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch
- Data Visualization: Power BI, Matplotlib, Seaborn
- Machine Learning & Deep Learning: CNN, ResNet, DenseNet, Vision Transformers
- Data Handling: SQL, Git, GitHub
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Medicinal Plant Identification Using Pattern Recognition and Computer Vision
A project using CNN, ResNet, DenseNet, and Vision Transformers to classify medicinal plants.
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Predictive Maintenance for Healthcare Equipment
Leveraging ML for predictive maintenance in healthcare, enhancing equipment reliability and efficiency.
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Google Search Engine Analysis
A project examining search trends to provide insights into user search behavior.
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Population Data Analysis
A project analyzing global population data with visualizations for countries by continent and population distribution.
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Currently working on a research paper titled:
"Medicinal Plant Identification Using Pattern Recognition and Computer Vision: A Comparative Study of CNN, ResNet, DenseNet, and Vision Transformers."
- Data Analytics and Visualization Job Simulation - Accenture North America
- Power BI Job Simulation - Forage
- Data Visualization: Empowering Business with Effective Insights - Forage
- LinkedIn: https://shorturl.at/a9Bw3
- Kaggle: https://www.kaggle.com/kanimozhi18
- Email: [email protected]