• Developed Unsupervised learning models for systematic behavior mapping on biological datasets using MATLAB and Python
• Developed Deep Learning Network models for identifying binding signatures in RNA-RBP using Keras and Tensorflow
• Classified jobs submitted on the cluster based on their profile using unsupervised machine learning techniques and performed data visualization using TensorBoard
• Performed image analysis using additive histogram equalization with openCV and basic clustering techniques on multiple cross-sectional images of muscle tissue
• Ran most of the project work in an HPC environment using Univa Grid Engine for job scheduling
