👋 I'm a Master's Student at Texas A & M Exploring the World of Data Science & Software Engineering. During my academic journey, I've been diving deep into both the theoretical and practical sides of technology. Through hands-on projects, I've complemented my classroom learning, gaining insights and skills that go beyond textbooks.
Developed a deep learning model with 96% accuracy to classify driver behaviors in videos using TensorFlow, Python, and AWS technologies.
Source CodeA deep learning model capable of detecting signs of pneumonia in pediatric chest X-Ray images. Utilized the PneumoniaMNIST dataset, achieving a test AUC of 0.9205, thus potentially aiding early diagnosis.
Source CodeMachine learning model assisting farmers in decision-making with 84% accuracy.
Source CodeA predictive model for HR analytics, aiming to understand employee retention with high accuracy.
Source CodeThis project focuses on detecting suicidal posts on Reddit using advanced NLP techniques. The key idea is to develop predictive models to identify posts containing suicidal ideation and to provide early intervention. Additionally, a mental health chatbot was developed to offer therapeutic guidance.
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