
Analytical and insightful Data Analyst known for productivity and efficiency in task completion. Specialized in data visualization, statistical analysis, and problem solving.
Used YOLOv8 to study medical images and find signs of gastric cancer.
Implemented an investigational approach leveraging ResNet and MobileNet to predict gastric cancer, enhancing early detection and improving treatment outcomes.
Programming Languages: C, C, Java, JavaScript,
Python
Database Management System: MySQL
Frameworks & Libraries: ReactJS, NodeJS, TensorFlow, Plotly, SpringBoot, Maven
Deep Learning Techniques: CNN, RNN, GAN, ResNet, MobileNet, Swin Transformer, YOLO
Version Control & Collaboration Tools: Git, GitHub
Other Technologies: Reinforcement Learning, Large Language Models (LLMs)