I developed a financial fraud detection system using Python, applying data preprocessing, feature engineering, and Decision Tree classification to predict fraud. I also used pandas, NumPy, and Matplotlib to generate visual reports and analytical insights.
For a battery health monitoring project, I used MATLAB to analyze battery performance datasets, including State of Health and State of Charge. I also performed battery degradation analysis and created visualizations for predictive analysis and decision-making.
I developed a CNN-based medical image classification system for disease detection using X-ray and MRI datasets. I applied image preprocessing and enhancement techniques with OpenCV and used TensorFlow and Keras to build and evaluate classification models.
I'm studying Electronics Engineering at MIT World Peace University. My experience and coursework include Python, machine learning, data analysis, and tools such as Google Colab, MATLAB, and MySQL.
