Hey there!!
The things that I gather from your post is that you're looking for someone who's not only well versed with Big Data environment but also knows how decision trees work and how to implement them.
I will give you a brief introduction about my profile and the work I have done in the past. I have been working with a global data analytics service provider based out of India for the past 27 months. I have been handling clients based out of US and have no issues about working during the US office hours. I am a certified Big Data programmer and trainer for the company I work with. I have experience of working with Hive, Impala, Spark, SAS. Here's a brief overview of the work I have done on Big data :
1. Migration and Re calibration of Predictive Models for US Property and Casualty insurance company : The client already had working models on SAS and Emblem but they wanted to move the entire thing in big data environment to make models on granular data. Tools used : Pyspark. Models build : Generalised Linear Model (GLM).
2. Predictive Model for a leading US healthcare insurance company : The objective of this project was to come up with a predictive model using structured and unstructured data to predict high claimants, low intensity Emergency Room visits, diabetic patients, dispersed patients. Tools used in this project - SAS EG 7.1 and PySpark. Models build : Random Forest, Gradient Boosting Machine (GBM), Support Vector Machine(SVM).
Have a great day!