Transfer Learning
Engineered a high-precision deep learning model using PyTorch to classify respiratory diseases from chest X-rays with state-of-the-art accuracy.
A collection of end-to-end AI systems and analytical platforms designed to solve high-stakes challenges.
Engineered a high-precision deep learning model using PyTorch to classify respiratory diseases from chest X-rays with state-of-the-art accuracy.
Developed a predictive diagnostic tool using Scikit-learn, deploying the model via a professional Streamlit command center for real-time support.
Built an NLP-powered application utilizing TF-IDF and spaCy for automated sentiment and topic analysis of clinical pharmaceutical data.
Interactive sales intelligence dashboard using Dash & Plotly to visualize historical trends and forecast future product demand cycles.
Architected a secure database platform to manage criminal records, implementing full CRUD with optimized SQL systems.
Advanced regression on Ames Housing dataset, conducting extensive EDA to uncover key market drivers and price sensitivities.