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KModes Clustering and Decomposition.ipynb		KModes Clustering and Decomposition.ipynb
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Test1- High Cluster Count.ipynb		Test1- High Cluster Count.ipynb
Test2- Bare algorithm implementation.ipynb		Test2- Bare algorithm implementation.ipynb

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Hacksgiving

T-Mobile Hacksgiving - Nov 2018 - 1st place winner

The product "Retail'ored" was targeted to reduce the number of returns in digital commerce with a three-step approach. The solution combined user experience research and data science in a constructive way.

The three step approach consists of

1. Ranking and recommender system using machine learning

2. A deep learning based sentiment/theme classification algorithm

3. A mixed reality experience that enabled the users to experience products before buying.

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