gaurav2567,KUMAR GAURAV,github

👋 Hi, I’m @GAURAV2567 aka GAURAV
👀 I am a guy who provides Business Value through Data-Driven solutions, having 3 years of Data Scientist experience. For most of my career, I have been involved in the NLP(Natural Language Processing) landscape of AI i.e. AI related to Text(languages).
- Worked on putting AI models into Production
- So far my work has been around these elements: Data Engineering, Data Analysis : Story Telling, Data Modeling/Data Science, Pushing AI model to Production(Cloud- AWS), API Generation for Testing/Demo Purposes, Database Administrator, Client Requirement Gathering and Clarifications, Project Management, Documentation, Front End Development as POC
- Blogger and Content Creator
🌱 I have also worked on Data Science & Analytics Projects ranging from Retail to Sports.
💞️ I’m looking to collaborate in any Data Science project or competition
📫 How to reach me Whatsapp/Phone:- +919724080157 || Email:- [email protected]

Language:- Python
Machine Learning:- Pandas, Matplotlib, Seaborn, Numpy, Sci-kit Learn, Statsmodel
NLP:- NLTK, Spacy, NER, word2vec, Sentiment Analysis, Information Extraction, Text Analysis, Knowledge Graph ( Neo4j )
DL:- Tensorflow, CNN, RNN
DataBase:- MySQL, PostgreSQL, MongoDB
Front End:- Flask, Streamlit
Cloud:- Heroku, AWS EC2, AWS Lambda/ S3/ IAM
Data Visualization:- Tableau, Excel
Web Scraping:- BeautifulSoup, Selenium, AutoScraper

KUMAR GAURAV's Projects

approachingalmost

Approaching (Almost) Any Machine Learning Problem

awesome-ml-projects-guide

A guide to building awesome machine learning projects.

cnocr

CnOCR: Awesome Chinese/English OCR toolkits based on PyTorch/MXNet, It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTorch/MXNet 的中文/英文 OCR Python 包。】

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

gaurav2567

Config files for my GitHub profile.

gpt-code-clippy

Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization

My Solutions to Programming Assignments from the Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization course by deeplearning.ai