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Hybrid Recommendation Systems

Case study
Pipeline prediction for real estate, a birds-eye-view of houses on the market
Pipeline Prediction
We built a data aggregation pipeline that brings in different sources of data into a cohesive view of metadata and time series events for sales pipelines. We developed three types of models, one tree based model, and two types neural network models (one being embeddings + multilayer perceptron, and the other being embeddings + LSTM).
Case study
Recommendation Engine case study focused on vacation property rentals
Recommendation Engine
Built a hybrid recommendation system that had a two embedding matching algorithm. It use data on users and properties to make more accurate recommendations.
Case study
eCommerce Recommendation Engine classifies apps on smart phone
Ecommerce Recommendation System
‍Built a classification and recommendation engine based on a vector clustering system.