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Updated 2 years ago


Experienced data science and business intelligence specialist with a demonstrated history of helping companies better understand data. Skilled in Python, R, SQL, machine learning, customer retention analysis, and consulting. Strong engineering professional and December 2018 Master of Science in Data Science graduate from Columbia University. Interested in new opportunities in data science.


  • business intelligence
  • Causal Inference
  • Churn Reduction
  • Customer Retention
  • Data Science
  • Data Visualization
  • Financial Modeling
  • Machine learning
  • Natural Language Processing
  • NumPy/Pandas
  • Python
  • R
  • R Statistical Programming
  • RStudio
  • Scikit Learn
  • SciPy
  • SQL
  • Statistical Inference
  • Statistical Modeling
  • StatsModels


September 2016

Master of Science in Data Science at Columbia University

Currently enrolled in final course where I work with a company on a data science project. Will be finished on 12/11/2018.

February 2006 May 2010

Bachelor of Science in Economic Analysis / Bachelor of Arts in Math with Actuarial Science at Binghamton University


January 2017

Software Engineer - Business Intelligence at SPS Commerce

As a Software Engineer on the Business Intelligence team I implement, customize, and validate business intelligence solutions for popular retailers and vendors. I’ve also been tasked with developing a machine learning model that predicts customer churn in order to understand and prevent customers from churning.