Results-oriented Computer Science Engineer with a strong foundation in Computer Science principles. Expertise in leveraging cutting-edge technology to create innovative solutions and achieve impactful engineering outcomes. Proven ability to drive projects from concept to completion, ensuring high-quality results.
Brain tumor detection system:
-Created a deep learning system for detecting brain tumors in MRI images.
-Developed an efficient diagnostic tool using image processing techniques and neural networks.
-Managed datasets are stored in the cloud.
Led model development, data preprocessing, and testing efforts.
Age and gender prediction system:
-Developed a predictive model for demographic and gender analysis, leveraging data science and machine learning.
-Achieved high accuracy through advanced feature engineering and model evaluation.
-Streamlined accessibility through public cloud deployment.
color detection system:
-Utilized Python along with OpenCV and Scikit-learn for image processing and color identification.
-Created RGB-based color classification algorithms, and performed thorough data analysis.
-Conducted image preprocessing, feature extraction, and machine learning model training for accurate color detection.