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followers: 12.0 following: 12.0 repos: 14.0 gists: 0.0

Name: Cheng-Pang (Tego) Chang

Type: User

Bio: MS Data Science@Duke / Data Scientist in SaaS, IoT, and Telecom / ex-Principal Product Manager for Data-driven applications / Basketball Analytics Enthusiast

Twitter: tegochang

Blog: https://www.linkedin.com/in/Tego-Chang/

Hi there 👋

Below you can find the projects I have been working on.

The topics investigated include:

Causal Effects in the Hospitality Industry
Customer Segmentation and Member Lost Prediction
Recommendation System
Social Status Analysis and Modeling
Document Classification
Basketball Analytics

The skills used include:

Machine Learning: Supervised, Unspervised, and Semi-supervised
Statistical Modeling
Causal Inference
Deep Learning
Natural Language Processing
Tableau Visualization
Data Query with SQL (Google BigQuery)

Cheng-Pang (Tego) Chang's Projects

2021-duke-datathon-evaluating-democracy-satisfaction-in-different-countries

Investigated how people are satisfied with the democracy in their countries based on a 20M-observation survey dataset.

720-practicaldatascience

Website for Practical Data Science Course Page

a-causal-study-on-airbnb-impact-of-superhosts-on-revenue-of-listings

Investigated the causal effects between a listing’s revenue and its host as well as other features in the hospitality industry.

customer-segmentation-member-lost-prediction-and-retention-strategies-for-payment-transaction

Applied the RFM framework to separate customers into four categories by their engagement and value for the service.

data-science-design-writing-visualization-samples

The idea of this repo is to summarize 1) data collection projects, 2) data science/Machine Learning writings in code, 3) data visualization presentation, and 4) the topics that I have engaged as a software product manager and data scientist.

kubernetes-hello-world-python-flask

A Kubernetes Hello World Project

mlflow-project-best-practices

An example MLFlow project

online-personalized-product-recommendation

Built an online recommendation system to suggest customized items based on a 1M-observation like-unlike dataset.

patchwork

All the Git-it Workshop completers!

self-supervised-learning-for-image-recognition-using-pytorch

sports-analytics

A collection of all sports analytics projects, especially basketball analytics.

tego-chang

tego-chang.github.io

toxic-comment-classification-using-naive-bayes-lda-and-neural-networks

Constructed a Naïve Bayes classifier and neutral networks by applying both PyTorch and TensorFlow through Keras.

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