Accelerating Insights with Data


MA, Economics from University of Colorado- Denver
Jan 2012 – May 2014
Focus: Emphasis in Statistical Modeling
Activities: Graduated with Honors

BA, Economics from University of Colorado
Jan 2006 – Jan 2010
Focus: Quantitative Emphasis
Activities: 2006 Boettcher Scholar

Work Experience

Director of Data Science at Closetbox 
Apr 2017  – Jul 2018,  Denver, CO, USA

As the Director of Data Science and a member of the Senior Leadership Team for Closetbox I was tasked with managing, developing and implementing all data modelling related systems and projects within the company. The main goal of the Data program was to utilize advanced data modelling techniques to better understand the business, the opportunities, and to make guided decisions based on analytics. Played an integral role in guiding the direction of the business through understanding the customer needs and all facets of the business. Pivotal in realigning the business model to increase profitability and hit record contribution margin in February, March, and April 2018, by maximizing efficiency in marketing spend and creating new direction in the business operations. Developed sophisticated automated routing technology to route all orders to appropriate agents based on expected costs and expected revenues for each order. This technology drove 30% reduction in servicing costs in 3 months. Develop and Manage the Closetbox Algorithmic Pricing and Revenue Management System – This system automatically adjusts pricing based on supply and demand as well as costs and marketing expenditures on a daily basis. Implementation of programmatic bidding procedures for advertising spending to improve revenue growth and customer acquisition. Created customer profiles for lead scoring and customer messaging, driving stronger customer ROI and customer retention.More

Lead Analyst at Western Union 
Oct 2015  – Apr 2017,  Denver, CO, USA

Risk Modeling and Statistics Address numerous modeling requests from internal and external customers. Work with SQL databases to access large datasets with regard to customer transactions, customer information, and agent profiles. Program in R, VBA, and Stata to analyze transactional information to build, test, and monitor predictive models addressing Risk, Fraud, and Anti-Money Laundering. Ad hoc statistical projects to analyze and explain various aspects of our data to provide insights to customer and agent behaviors and potential impacts of decisions. Includes analyzing customer transactions to determine thresholds that are considered outliers or risky. Present findings and recommendations based on statistical analyses.More

Lead Product Consultant at Standard & Poor’s 
Aug 2012  – Sep 2015,  Denver, CO, USA

I assisted clients with accessing and utilizing financial data through various platforms including Capital IQ, Factset, and Bloomberg. I worked with clients in database management and access of data, while also working with them to leverage the data we provided for a number of purposes, including portfolio management, mergers and acquisitions, and academic research. At Capital IQ, I assisted users with modeling tasks and projects, by assisting them in understanding all nuances of the financial data we provided.Less

About Me

Nick has over a decade of experience in data analytics and predictive modeling.  He has developed and optimized algorithmic models across disciplines including investing, logistics, compliance, sports, and operations.  His ability to understand processes in a variety of areas allows him to create customized products and analyses for our clients, delivering value that is pertinent and not redundant.  Throughout his career he has leveraged machine learning and data analytics to drive efficiencies and streamline and automate decision making.


Project Categories

  • Business Impact Analysis
  • Data Science & Analysis
  • Data Visualization
  • Robotic Process Automation (RPA)
  • Benchmarking
  • Big Data & Analytics Project Management
  • Pricing Analysis & Optimization

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