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Code for the EMNLP-IJCNLP paper: Easy data augmentation techniques for boosting performance on text classification tasks.

Home Page: https://arxiv.org/abs/1901.11196

Python 100.00%

eda_nlp's Introduction

Hey ๐Ÿ‘‹, I'm Shrikanth Singh!

github stackoverflow linkedin

Glad to see you here!

I am a Data Scientist with a Master of Science in Computer Science, I have a strong background in developing and implementing machine learning models and data-driven solutions.

My experience at Conrad Electronics SE includes contributing to projects such as a demand forecasting model, optimizing the company's search engine using NLP algorithms, and identifying patterns to deter fraudulent transactions. I am well familiar with the Google Cloud Platform (GCP) and have experience with process engineering methodologies such as Scrum, Kanban, and Scrumban.

๐Ÿ“ซ How to reach me: Gmail Badge

๐Ÿ˜„ Pronouns: Learner/He/Him/His

๐Ÿ“ Resume - About Me

๐Ÿ“Š Research - Academia


Rapidfire

  • ๐Ÿ”ญ Iโ€™m currently working on the optimization of the Demand Forecasting Model

  • ๐ŸŒฑ Iโ€™m currently learning specific components of MLOps - Airflow, and Kubernetes. Transitioning from Pandas to Spark ๐Ÿ˜‰

  • โ“ Ask me about anything related to NLP, Search optimization, Predictive Analytics


Languages and Tools

MySQL Git Keras Terraform GCP GraphQL PostgreSQL Python TensorFlow Kubernetes Raspberry Pi LaTeX Flask PowerShell Bash Docker MongoDB Linux pytorch Arduino GitLab

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eda_nlp's People

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