spate141,Snehal Patel,github

Senior Machine Learning Engineer/Data Scientist, AWS certified ML specialist, TensorFlow certified developer with background in natural language processing, computer vision and speech recognition.
Currently focused on developing valuable scientific solutions for search products for the 84.51º Digital Relevancy Science team.
Previously, worked towards research and development of deep learning applications for structured/unstructured data to create a scalable system for eContext's taxonomy of 500,000 categories.
Good grasp of data analysis, data cleaning, deep learning algorithms and training train low bias, low variance models.
Theoretical knowledge of the underpinnings of algorithms and statistics.
Strong expertise to grok research papers from different domains of deep learning.
Adroitness to understand business problems and building data-driven solutions.
High proficiency with deploying large scale models in production with TensorFlow/TF-Serving, PyTorch/TorchServe.

Licenses & Certifications:

GitHub Stats:

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Snehal Patel's Projects

starspace

Learning embeddings for classification, retrieval and ranking.

sumy

From https://github.com/miso-belica/sumy with some modification

tensorflow

Open source software library for numerical computation using data flow graphs.

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

text_classification

all kinds of text classification models and more with deep learning

text_classification-1

Text Classification Algorithms: A Survey

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.