Data Scientist (Contractor)
2018 - 2020Tickets 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, RData Scientist
2011 - 2016Strategic 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
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
- Tickets VerifiedGoogle Cloud, Python, R
- Strategic CompVisual Basic for Applications (VBA), Microsoft Excel, SQL, R
Experience
- Forecasting 8 years
- Predictive Modeling 8 years
- R 8 years
- Machine Learning 8 years
- Sales Forecasting 6 years
- Python 5 years
- Pricing Strategy 5 years
- Google Cloud 2 years
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
Experience
- Predicting Airbnb New User Bookingshttps://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 SheetsStorage
Google CloudLibraries/APIs
TensorFlowPlatforms
Amazon Web Services (AWS)
Education
- Bachelor of Science Degree in Mathematics2010 - 2015University of New Orleans - New Orleans, Louisiana
