Ben Gorman, Forecasting Developer in New Orleans, LA, United States
Ben Gorman

Forecasting Developer in New Orleans, LA, United States

Member since April 23, 2020
Ben is a data scientist based in the New Orleans area with eight years professional experience. He likes finding creative solutions to business problems using a combination of math and programming. His toolset consists of R, Python, Excel, SQL, and a variety of machine learning techniques.
Ben is now available for hire




New Orleans, LA, United States



Preferred Environment

Amazon Web Services (AWS), TensorFlow, Google Sheets, Microsoft Excel, SQL, Google Cloud, Python, R

The most amazing...

...system I developed was an automated alert system that identified under-valued tickets to concerts and events.


  • Data Scientist (Contractor)

    2018 - 2020
    Tickets Verified
    • Developed a machine learning model to forecast ticket prices to concerts and sporting events.
    • Developed a model to evaluate the fair market prices of tickets.
    • Developed an autonomous system to collect, clean, and store ticket price and related data on a daily basis. This involved a combination of R, Python, SQL, and Google Cloud.
    • Developed tools and analyses to aid in the management sale of over $15 million of tickets. In particular, I successfully overhauled my client's strategy for pricing tickets, helping them scale their business operations efficiently and profitably.
    Technologies: Google Cloud, Python, R
  • Data Scientist

    2011 - 2016
    Strategic Comp
    • Developed and implemented predictive models for insurance claim loss reserving.
    • Developed a model to forecast claim loads by geography in order to aid in proactive hiring as the business expanded nationally.
    • Developed a system of automated reports to monitor key performance metrics about the business health and employee performance.
    Technologies: Visual Basic for Applications (VBA), Microsoft Excel, SQL, R


  • Predicting Airbnb New User Bookings

    In 2015, Airbnb challenged data scientists to predict in what country a new user would make his or her first booking given information about the user. I placed 20th in the competition out of 1,462 teams thanks to a strong cross-validation framework and clever feature engineering.


  • Languages

    R, Python, SQL, Visual Basic for Applications (VBA)
  • Other

    Machine Learning, Predictive Modeling, Classification Algorithms, Regression Modeling, Forecasting, Sales Forecasting, Trend Forecasting, Product Forecasts, Pricing Strategy, Neural Networks, Image Recognition, Natural Language Processing (NLP)
  • Tools

    Microsoft Excel, Google Sheets
  • Storage

    Google Cloud
  • Libraries/APIs

  • Platforms

    Amazon Web Services (AWS)


  • Bachelor of Science Degree in Mathematics
    2010 - 2015
    University of New Orleans - New Orleans, Louisiana

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