shanroy1999 Goto Github PK

followers: 12.0 following: 62.0 repos: 91.0 gists: 1.0

Name: Shantanu Roy

Type: User

Company: Deloitte USI (Offices of US)

Bio: Currently working as an Analyst(Consulting) at Deloitte USI (Offices of US), India.

Location: Jaipur, Rajasthan

Blog: https://www.linkedin.com/in/shanroy99/

Hi 👋, I'm Shantanu Roy

I am currently working as an Analyst(Consulting) at Deloitte USI(Offices of US), India. I try to add as much value as possible to the society and contribute for the betterment of the world as a whole. I want to contribute and give back to the society as much as possible and help make the world a better place.

🔭 I’m currently working on learning about Cloud Computing.
👯 I’m looking to collaborate on industrial level projects related to Machine Learning, Deep Learning, Cloud Computing, Data Science, Artificial Intelligence, Computer Vision, Game Development.
💬 Ask me about Latest Technologies, Entrepreneurship, Startups.
📫 Reach me at [email protected](I haven't uploaded my Kaggle notebooks on github. So you may check it out on my kaggle profile given below)
Porfolio Website - https://shanroy1999.github.io/portfolio-website/
⚡ Fun fact I am a big fan of Elon Musk and just like him, I aspire to bring a revolution in the world and make the world a better place.

Shantanu Roy's Projects

-hacktoberfest2k20

Add all sorts of application for hacktoberfest.

1000_project_ideas

1000 Project Ideas to be coded in any language

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

a-to-z-resources-for-students

✅ Curated list of resources for college students

algo_ds_notes

It is a repository that is a collection of algorithms and data structures with implementation in various languages.

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

armtemplates

awesome-1

😎 Awesome lists about all kinds of interesting topics

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.