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  • šŸ‘‹ Hi, Iā€™m @CorrineTan
  • šŸ˜Ž Iā€™m interested in Hadoop, Spark, Bigdata Eco-System, Java, Network, Linux, K8s, Terraform
  • šŸ¤© And I just began my journey to FullStack!!
  • šŸŒ± Iā€™m currently in the way of improving above all
  • šŸ’žļø Iā€™m looking to collaborate on everything related above
  • šŸ“« How to reach me: send me a linkedin message https://www.linkedin.com/in/corrine-tan12/

Corrine Tan's Projects

android-slither.io icon android-slither.io

The objective of the game is to control a worm around a wide area and eat pellets, defeating and consuming other players to gain mass to grow the largest and longest in the game.

corrine-dataengineer-roadmap icon corrine-dataengineer-roadmap

This Repo is used for accumulate basic Data Engineering Knowledges. The roadmap is originally from this repo https://github.com/datastacktv/data-engineer-roadmap.

corrinetan.github.io icon corrinetan.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

memoeditor icon memoeditor

Practice very basic frontend skills by doing a memo editior

multi-armed-bandits icon multi-armed-bandits

Applying MABs to Yahoo! News, in deciding what news items to recommend to users based on article content, user profile, and the historical engagement of the user with articles.

poshmark-deep-learning icon poshmark-deep-learning

Developed a procedure to automatically predict the aesthetic quality of fashion item photos applying CNN.

sql-50-questions icon sql-50-questions

This repo records the 50 significant SQL questions. Good to get familiar with basic SQL operations. I practice them all in Snowflake.

texas_holdem_python icon texas_holdem_python

Provide a list of players and two cards served to them is in a csv file (players.csv) and first three community cards, the program should find the next two cards for the community to make a selected player the winner. Number of players can be from 2 to 10.

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