Personal details

Benjamin G. - Remote data scientist

Benjamin G.

Timezone: Central Time (US & Canada) (UTC-5)

Summary

Hi, I'm Ben. I'm a data scientist skilled in R and Python. Here are some bullets about me

Check out my data science courses:

Work Experience

Founder & Data Scientist
GormAnalysis | Jul 2015 - Present
Machine Learning
Big Data
Google Cloud Platform
Data Pipelines
Predictive modeling

In 2015 I founded GormAnalysis - an independent data science consulting company based in the New Orleans area.

(SOME) COMPLETED PROJECTS
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
● Designed an implemented a data pipeline to collect and analyze 2TB of web data. Predicted Customer Lifetime Value across customer segments to assist in optimizing marketing spend - M&T Bank 2020

● Created a machine learning model to identify opportunities to buy and resell tickets in the secondary ticket market. This involved big data collection, storage, processing, and modeling, mostly on Google Cloud Platform, leading to the purchase and resale of over $3M of inventory - Tickets Verified 2018 - 2020

● Designed and implemented a model to forecast monthly sales for a large Russian supermarket. Forecasts were specifically for prospective stores in order to optimize site selection and store size for new developments. Model features included store variables, competitor store details, population, demographics, and the geolocation and sales history of over 20 million customers. - Melinae 2017

● Designed and implemented a Monte Carlo simulation model to estimate repayment curves at various confidence levels for short-term loans to solar energy companies. - SunFunder 2017

● Designed and implemented a predictive model for a professional liability insurance carrier, helping them use historic data and nursing home characteristics to identify high-risk accounts. - CR 2016

● Designed and implemented a predictive model to identify strong sales leads amongst a database of thousands of available leads. Resulting model assigned conversion probabilities to new leads, helping the client allocate their sales resources more efficiently. Model generated a 150% lift in conversions. - FiveStar 2016

SR Data Scientist
Matchpoint Therapeutics | Apr 2022 - Mar 2023
Python
R
Google Cloud Platform
Bioinformatics

Aided in the 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.

Education

University of New Orleans
Bachelor's degreeMaths
Sep 2010 - Jan 2015

Personal Projects

Sif'd
2023
Firebase
React
Next.js
Influencer marketing
In 2023, I created sifd.io to make it easier for brands to find content creators to promote a product or service.