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Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2
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yanniey/README.md

Hi there, I'm Anyi 👋

I'm an applied scientist at Yelp working on ad tech such as bid pricing and real time bidding. My typical day is split 50/50 between data science and machine learning engineering.

😄 I'm currently working on:

  • Improving the Ad Auction system at Yelp by running randomised controlled experiments and implementing systems at scale.

🌱 My Past Projects:

  • Solving Computer Vision problems with machine learning and deep learning (OpenCV, scikit-learn, Tensorflow)

📫 How to reach me:

Pinned Loading

  1. computer_vision_toolkit computer_vision_toolkit Public

    A repo for my Computer Vision projects using scikit-image, Tensorflow and Keras.

    Jupyter Notebook 1 1

  2. Coursera_Intro_to_Data_Science_with_Python Coursera_Intro_to_Data_Science_with_Python Public

    Coursera course with University of Michigan, 11/2016

    Jupyter Notebook 19 19

  3. MongoDB_For_Developers_M101P-05-2015 MongoDB_For_Developers_M101P-05-2015 Public

    My answers for M101P:MongoDB for Developers course in Python with PyMongo 3.0

    Python 5 3

  4. Coursera_Practical_Machine_Learning Coursera_Practical_Machine_Learning Public

    Coursera Course 8 (out of 10) in the Data Science Specialization by John Hopkins University

    HTML 5

  5. deeplearning_coursera deeplearning_coursera Public

    Jupyter Notebook

  6. sa-ccr sa-ccr Public

    A Python implementation to calculate the counterparty credit risk under Basel III Standardized Approach for Counterparty Credit Risk Management

    Python 3 1