Deep Learning Expertise: My experience encompasses Python, Java, Machine Learning, and NLP, including proven experience with ResNet and DenseNet frameworks utilized in my "Analysis of common diseases in data of Doctor's prescription" project.
Healthcare Informatics: My internship at GSFC involved analyzing plant data using Machine Learning and MySQL, demonstrating my ability to process and analyze large datasets in a relevant context.
Disease Diagnosis Focus: My "COVID-19 TWEETS GEO AND SENTIMENTAL ANALYSIS AND CLASSIFICATION" project showcased my ability to analyze health-related data (tweets) using NLP, demonstrating my understanding of data-driven approaches in healthcare.
Problem-Solving & Precision: Projects like "Automated prescription review system" (75% efficiency increase) and "Two-Way Communication portal for Challenged individuals" (95% accuracy) highlight my problem-solving skills and focus on achieving high accuracy outcomes.
Additional Value I Bring:
Learning Agility: I'm a fast learner with a strong work ethic, eager to contribute to cutting-edge deep learning advancements in healthcare.
Communication & Collaboration: My experience working in cross-functional teams (e.g., Acko) demonstrates my ability to communicate effectively and collaborate towards shared goals.