Greg Robinson Email & Phone Number

Aspen, CO, US

Miami, Florida, US

Bringing Moneyball to Fashion and spending quite a bit of time in Wynwood

Washington, DC, US

• Some of the highlights during my 4+ years with Decile/SocialCode:
• Created a Predicted Customer Lifetime Value (pLTV) model using a deep neural network (DNN) thatutilizes 1P (transactional) and 3P (customer attribute) features in order to replace our existing “buy-til-you-die”.
• Built a “store lift” algorithm using a “differences-in-differences” econometric approach that identified – for a client with both ecommerce and physical locations – whether opening a new store increased revenue in the.
• Developed multiple Customer Acquisition Cost (CAC) models based on available data and attribution: Shopify OrdersAPI last touch and Shopify GraphQL multitouch. Wrote a white paper (ask me!) and presented models via.
• Created a Market Basket Analysis that identifies products likely to be purchased contemporaneously and sequentially (fp-growth algorithm). Firm first monetized this report as a custom analytics offering then added the.
• Developed an Audience Uniqueness / Similarity Score using Principal Components Analysis (PCA) fordimensionality reduction, then Cosine Similarity applied to the PCA-reduced feature space

Washington, DC, US

Formerly SocialCode’s Audience Intelligence Platform (AIP), Decile is a software company that delivers business intelligence and customer insights to help its partners better understand customer acquisition costs, customer retention, unit economics, and how to increase profitable growth. A wholly owned subsidiary of the Graham Holdings Company (formerly.

New York, NY, US

Audience Intelligence Platform. AIP is a customer data and analytics platform that helps marketers drive more revenue, build a more loyal customer base, optimize product strategies, and drive profitability. A wholly owned subsidiary of the Graham Holdings Company (formerly the Washington Post Company).

Missoula, MT, US

• Managed a team of Data Scientists and Data Engineers (4) for a full-service marketing agency with a SaaS platform ("your digital marketing assistant"). Early stage startup. Included:
• Optimize and automate Google and Facebook Ads spend
• Generate client (often dynamic) pricing recommendations (price elasticity of demand: linear regression, seasonality: time-series)
• Develop and implement algorithms for SaaS including notifications (time-series) and customer propensity recommendations (logit)
• Help build a data warehouse using Google BigQuery
• Financial analyses on potential and existing investment sources

Missoula, MT, US

San Diego, CA, US

Summer (PhD student) Business Operations intern (2017). Analyzed large data sets using R and Python to better understand the data generating process driving costs. Implemented a predictive econometric model to improve Cymer's cost and parts demand forecasting abilities. Helped to align costs and revenues.

ULEEF (The University of Utah Laboratory for Experimental Economics & Finance). Banking, Entrepreneurship, Regulations & Taxes Survey (BERT). Attended the University of Utah as a PhD student in the Finance Department.

Glenwood Springs, CO, US

Managed a mathematics tutor lab where students dropped by receiving assistance with homework and test preparation. In addition, privately tutored students through successful GED and AP Calculus exam completion and related coursework.

Financial Underwriter for institutional-grade multifamily and mixed-use existing assets and development projects ($10M-$400M). Authored industry-standard market analysis reports by tracking economic data, demographic information, sales comparables, and development projects increasing brokerage visibility. Created a new electronic marketing approach that.

B.A., Economics & Philosophy

Master Of Philosophy - Mphil, Business Administration - Finance

Most Of The B.A. Math Major Requirements, A Little Computer Science & Econometrics

Mba, Finance