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Hi there šŸ‘‹ I am Kangbo Lu

After working as a data strategist, a project manager and a data product manager,
I wanna take a big big break from all the works and rethink about my life. I will be back!!!
šŸ”­ Iā€™m a Data Scientist and a Music Producer.
šŸ“˜ I have a Master degree of Data Science and a Bachelor degree of Computer Science.
šŸŒ± Iā€™m currently working on Neo4j and Graph Machine Learning.
šŸ“« How to reach me (Not Gonna Work):

Kaggle Github LinkedIn

My usual tech stack

  • Programming Languages I like to Use often:
    C++ Python R JavaScript

  • Databases:
    MySQL MongoDB Postgres Neo4J SQLite BigQuery

  • Data Manipulation:
    Pandas NumPy SciPy TidyVerse

  • Data Visualization:
    Plotly Matplotlib ggplot2 seaborn Dash Shiny Gephi SocNetV

  • Data Modeling (ML/DL, CV, NLP, Graph):
    Keras TensorFlow PyTorch Gensim NLTK Statsmodels NetworkX

My data analysis projects on Kaggle:

  • šŸ“Š Analysis of Netflix Media Content Information: Link here
  • šŸ€ Historic NBA Drafting, Game, and Player Analysis: Link here
  • šŸ›ļø Supermarket Member Data Analysis and Segmentation: Link here
  • šŸ›’ Grocery Purchase Data Mining with Apriori: Link here

Kangbo Lu's Projects

awesome icon awesome

:sunglasses: Curated list of awesome lists

css-filters icon css-filters

Using cssgram and material ui to create filters for image

cssfilters icon cssfilters

Custom and Instagram like photo filter playground for CSS built with React

dash_tutorial_series icon dash_tutorial_series

Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionalities.

fb-request-lib icon fb-request-lib

:earth_americas: A friendly repository for using Facebook Marketing API to study marketable audiences

getmet icon getmet

Streamline the collection of meteorological data for hydrologic modeling

graph-analysis-with-networkx icon graph-analysis-with-networkx

:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.

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