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

Verified Expert  in Engineering

Machine Learning Developer

Location
New Orleans, LA, United States
Toptal Member Since
April 23, 2020

Data scientist with over ten years of professional experience. I like finding creative solutions to business problems using R, Python, SQL, Google Cloud, and a variety of machine learning techniques. Highlights: - 20K rep on StackOverflow - Kaggle Competitions Master (top 1%) - Creator of Scipress.io - Creator of mltools R package (over 200 stars on github) I would encourage anyone reading my profile to have a conversation with me. It's free and you stand to gain a lot more than you can lose.

Portfolio

M&T Bank
R, Python, Google Cloud, Google BigQuery, Google Ads, Web Marketing
Matchpoint Therapeutics
Google Cloud, Google BigQuery, Python, Streamlit, R, DNA Sequencing
Tickets Verified
Google Cloud, Python, R, Data Science

Experience

Availability

Part-time

Preferred Environment

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

The most amazing...

...thing I've developed is Scipress.io - an online platform for writing and sharing technical content. I'm a data scientist, but I can do engineering too ;)

Work Experience

Data Scientist

2020 - 2024
M&T Bank
  • Worked on a number of projects in support of digital analytics involving Google Cloud, BigQuery, Google Ads, Customer Lifetime Value, Multi Touch Attribution, Fraud Detection, and Outlier Detection.
  • Developed a marketing analytics platform in Google Cloud (BigQuery) enabling the marketing team to better understand the impact of marketing initiatives and ad spend.
  • Implemented a logistic regression based prediction model to aid marketing team in targeted outreach.
Technologies: R, Python, Google Cloud, Google BigQuery, Google Ads, Web Marketing

Data Scientist

2022 - 2023
Matchpoint Therapeutics
  • Aided in development of cloud analytics infrastructure for high throughput screening. In English, the company was looking for cancer drugs using mass spectrometry. They generated a lot of data, and I was responsible for processing and analyzing it.
  • Stood up a GCP instance with BigQuery, scheduled data transfers, and Vertex AI.
  • Designed and implemented models for evaluating experiment results and outlier detection. Worked with proteomics data.
Technologies: Google Cloud, Google BigQuery, Python, Streamlit, R, DNA Sequencing

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 Science

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, Data Science

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.
2010 - 2015

Bachelor of Science Degree in Mathematics

University of New Orleans - New Orleans, Louisiana

Libraries/APIs

TensorFlow

Tools

Microsoft Excel, Google Sheets

Paradigms

Data Science

Languages

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

Storage

Google Cloud

Platforms

Amazon Web Services (AWS)

Frameworks

Streamlit

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), Generative Pre-trained Transformers (GPT), Google BigQuery, DNA Sequencing, Google Ads, Web Marketing

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