“All engineering is re-engineering”. In my opinion, a similar quip applies to data science too! Data science and analytics is a lot about disseminating knowledge of tools and approaches to others as part of the DS community. I’m hopeful that actionable insights I gather from my projects will inspire you – the reader to anlayze your next dataset with more perspective and some more tools in your repertoire. Have fun exploring my work. I am keeping most of the content here fairly non-technical. In some posts I will attach links to reports, publications, or references that are relevant, so you can look there for additional details. But if you would want to chat about any of my work or possible collaborations, I love that and am only an email away!
Convolutional Neural Networks for Underwater bedform inference
Designing CNN based multi-class classifier framework for underwater bedform inference from aerial imaging of shallow water bodies
Reconstructing Flowing Water Surfaces
Using water surface reconstuction as a way to move towards a novel aerial remote sensing method for inferring submerged ecosystems and coastal debris
Embedding Electronic Health Records for Medical Predictions
Word2Vec as an embedding strategy for EHR data to predict ailment category at re-hospitalization
Genomic data clustering using Principal Component Analysis
Using simple techniques like PCA to generate a lot of insights on real databases, here, human genome data
Automated Anomaly Detection in Safecast Sensors
Assisting citizen-science based NPO, Safecast, by automating anomaly detection in air-quality and nuclear-radiation sensors deployed around the globe
Sound of Fourier Transform
A fun project: Using Fourier Transforms to understand differences in human auditory perception. Try yourself!
Finding Insular Friend Groups in Social Networks
Experience the magic of graph theory: use the eigenvectors of a subset of the Facebook graph to find large, insular groups of friends.