Fellow, Insight Data Science, NYC, May 2016-Present
-Implemented an automated classification pipeline in consultation with a Y-Combinator startup (Lynks)
-Developed an object recognition pipeline for e-commerce products using a combination of -Convolutional Neural Nets (Deep Learning) and NLP using Keras and Scikit-learn
-Achieved 94% accuracy by using transfer learning and fine-tuning with Neural Networks
Post-doc, Institute for High Energy Physics, Barcelona, 2014-2016
-Produced, validated and disseminated galaxy distance measurements calculated with Neural Networks and Bayesian modeling for 165 million galaxies in the Dark Energy Survey’s first two data releases
-Key contributor i...
Fellow, Insight Data Science, NYC, May 2016-Present
-Implemented an automated classification pipeline in consultation with a Y-Combinator startup (Lynks)
-Developed an object recognition pipeline for e-commerce products using a combination of -Convolutional Neural Nets (Deep Learning) and NLP using Keras and Scikit-learn
-Achieved 94% accuracy by using transfer learning and fine-tuning with Neural Networks
Post-doc, Institute for High Energy Physics, Barcelona, 2014-2016
-Produced, validated and disseminated galaxy distance measurements calculated with Neural Networks and Bayesian modeling for 165 million galaxies in the Dark Energy Survey’s first two data releases
-Key contributor i...
