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

Portfolio

Experience

Location

New Orleans, LA, United States

Availability

Part-time

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.

Employment

  • 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

Experience

  • Predicting Airbnb New User Bookings
    https://www.gormanalysis.com/projects/air-bnb-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.

Skills

  • 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

    TensorFlow
  • Platforms

    Amazon Web Services (AWS)

Education

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

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