aniruddhachoudhury Goto Github PK

followers: 269.0 following: 26.0 repos: 342.0 gists: 1.0

Name: Aniruddha Chodhury

Type: User

Company: American Express

Bio: I am a Senior Data Scientist . Love to play with data finding new patterns and Business solutions with the power of Artificial Intelligence.

Location: Bangalore,India

Blog: https://www.linkedin.com/in/aniruddha-choudhury-5a34b511b/

Hey 👋, I'm aniruddhachoudhury!

Hi, I'm Aniruddha Choudhury, a Full Stack Senior DataScientist 🚀 from India, Currently working in 🙍🏽‍♂️ @Publicis Sapient and developing MLops products with all Cloud like GCP,Azure,AWS and productionize the Machine Learning models with Kubeflow,Airflow orchestration along side TFX.

Apart from my research on Artificial intelligence , I enjoy listening music 🎧 and traveling 🏖️ and playing X-Boxgames 🎮.

"Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution."

Talking about Experiences/Achievements:

🥇 Former Data Scientist. from Wells Fargo 👨🏽‍💻 @Wells fargo
🎓 Contributor of Kubeflow community 👨🏽‍💼@Kubeflow
👨‍💻 Former Senior Data Scientist at Incture Technologies@Incture
⚡️ Techinical Blogger Medium and Linkedin
🤝 Certified Data Scientist from Michigan University
💬 Ask me about anything, I am happy to help
📫 How to reach me: [email protected]

Languages and Tools and Cloud:

📌 Star and Fork this README 📝

💻 Recent projects in which I have contributed in my gituhb

Aniruddha Chodhury's Projects

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

issue-label-bot

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

k9s

🐶 Kubernetes CLI To Manage Your Clusters In Style!

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.