Worked on Vehicle Inspection and E-Scooter parking project in which I used Data Annotation, Preprocessing, Augmentation, and Object Detection techniques. Also using Transfer Learning for classification problems.

I was working on an ongoing project i.e. Medical Decision Support System in which we are doing data analysis and prediction using Machine Learning, Deep Learning, and Transfer Learning architectures, on the following diseases: Lungs Cancer: Image-based multiclassification using TensorFlow, OpenCV, and transfer learning.Heart Diseases: Heart health stages with multi-classification using machine learning methodology.Breast Cancer: Image-based multiclassification using TensorFlow, OpenCV, and deep learning.Ophthalmology Diseases: Eyes diseases multi-classification using Tensorflow and Transfer Learning.Diabetes Prediction: Used structural dataset on which binary classification was applied using Machine Learning models.

I have completed Data Science and Machine Learning projects on real-world datasets in different domains such as Real State, Weather History, and Motor Car Vehicles using feature extraction, data normalization, and preprocessing with machine learning methodology and model evaluation.I also did Data visualization and analysis projects using Tableau.Tool Used: Jupyter Notebook, Visual Studio, and PyCharmLibraries Used: Pandas, Numpy, Matplotlib, Scipy, Tensorflow, Seaborn