Ben Gorman
Verified Expert in Engineering
Machine Learning Developer
New Orleans, LA, United States
Toptal member since April 23, 2020
Ben is a data scientist with over 10 years of professional experience. He likes finding creative solutions to business problems using R, Python, SQL, Google Cloud, and various machine learning techniques. His career highlights include having 20,000 rep on StackOverflow, being a Kaggle Competitions Master (top 1%), creating Scipress.io, and creating the mltools R package (over 200 stars on GitHub).
Portfolio
Experience
- Machine Learning - 8 years
- R - 8 years
- Predictive Modeling - 8 years
- Forecasting - 8 years
- Sales Forecasting - 6 years
- Pricing Strategy - 5 years
- Python - 5 years
- Google Cloud - 2 years
Availability
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 also do engineering.
Work Experience
Data Scientist
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 spending.
- Implemented a logistic regression-based prediction model to aid the marketing team in targeted outreach.
Data Scientist
Matchpoint Therapeutics
- Aided in the development of a cloud analytics infrastructure for high throughput screening. The company was looking for cancer drugs using mass spectrometry. They generated a lot of data that I processed and analyzed.
- 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.
Data Scientist (Contractor)
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.
Data Scientist
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.
Experience
Predicting Airbnb New User Bookings
https://www.gormanalysis.com/projects/air-bnb-new-user-bookings/Education
Bachelor of Science Degree in Mathematics
University of New Orleans - New Orleans, Louisiana
Skills
Libraries/APIs
TensorFlow
Tools
Microsoft Excel, Google Sheets
Languages
R, Python, SQL, Visual Basic for Applications (VBA)
Platforms
Jupyter Notebook, Amazon Web Services (AWS), Google Ads
Storage
Google Cloud
Frameworks
Streamlit
Industry Expertise
Bioinformatics
Other
Machine Learning, Predictive Modeling, Classification Algorithms, Regression Modeling, Forecasting, Data Science, Data Analytics, Data Architecture, Big Data, Cluster Analysis, Data Analysis, Data Engineering, Sales Forecasting, Trend Forecasting, Product Forecasts, Artificial Intelligence (AI), Statistical Analysis, Pricing Strategy, Neural Networks, Image Recognition, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Google BigQuery, DNA Sequencing, Web Marketing
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