Brett Nebeker

Lead, Machine Learning at Consensus
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(386) 825-5501

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Crista Procopio, M.Ed.

During the Fall 2012 through Spring 2013 semesters, I was the Chair of the Dean’s Advisory Council at the W. P. Carey School of Business. This council is comprised of select members and works as a liaison of the student body and school administration. The purpose of this council is to determine areas of need and then research and write proposals to the administration regarding fee allocation, core curriculum revisions, student retention rates and general student involvement. Brett was a member of this council and was one of the best colleagues that I have ever worked with. Brett is incredibly diligent and he pushed himself to think creatively when problem-solving the issues at hand. He always maintained a positive attitude, despite any challenges that he ran into, and he was able to motivate the other members as well. Throughout the year, Brett also developed excellent teamwork skills and effectively managed a subgroup of the council. Additionally, Brett was able to successfully balance his challenging schoolwork, demanding accounting internships and the council duties. Brett is an exceptional individual and has an incredibly bright future ahead of him. I recommend him for any of the future positions he applies for and I wish him the absolute best of luck!

Greta Jay

I have had the pleasure of working with Brett Nebeker on a few projects during his internship at DriveTime. The project was one that was to be used by the Finance team and their end users. It required someone that was capable of becoming the go to person and project manager for the team. Brett fit the role. He was able to stick with the project through its developing stage and then implement it to the field while continuing to test it and work out any problems that came along. He went above and beyond expectations as he also recognized the need for an additional process to be built to simplify and add ease to the day to day process. He is quick to learn and a pleasure to work with. He is a good teacher and has a wealth of information to share. It would be my pleasure to work with him again in the near future.

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Experience

    • United States
    • Technology, Information and Media
    • 1 - 100 Employee
    • Lead, Machine Learning
      • Nov 2021 - Present

      Consensus product powered by 🤗 and OpenAI text classification summarization, text augmentation, text generation search rank Consensus product powered by 🤗 and OpenAI text classification summarization, text augmentation, text generation search rank

    • United States
    • Data Infrastructure and Analytics
    • 1 - 100 Employee
    • Chief Data Scientist
      • Aug 2018 - Present

      Helping companies with data strategy, and execution of best practices in data engineering and data science linear A data products Helping companies with data strategy, and execution of best practices in data engineering and data science linear A data products

    • United States
    • Law Practice
    • 700 & Above Employee
    • Senior Data Scientist
      • May 2020 - Jan 2022

      Deep learning classifiers Scalable automation pipelines Deep learning classifiers Scalable automation pipelines

    • United States
    • Financial Services
    • 100 - 200 Employee
    • Data Science Manager
      • May 2019 - Apr 2020

      - Lead all data strategy, data science, analytics, and data engineering efforts - Data engineering overhaul - migrated to an ELT pipeline to give clean visibility into raw data sources and transformations for final consumable tables (Fivetran & SQL based transformations) - Designed and implemented dashboard tree infrastructure for metric tracking - Prototyped ML - topic modeling for chat data, propensity to re-engage, propensity to save, client segmentation - Lead all data strategy, data science, analytics, and data engineering efforts - Data engineering overhaul - migrated to an ELT pipeline to give clean visibility into raw data sources and transformations for final consumable tables (Fivetran & SQL based transformations) - Designed and implemented dashboard tree infrastructure for metric tracking - Prototyped ML - topic modeling for chat data, propensity to re-engage, propensity to save, client segmentation

    • United States
    • Software Development
    • 200 - 300 Employee
    • Manager, Data Science & Analytics
      • Feb 2019 - May 2019

      - Managed data science, analytics, and engineering teams- Data science: responsible for the development and productization of machine learning models- Analytics: managed analytical requests from across the business – statistical analysis and visualizations in Looker- Engineering: focused on ELT pipelines and cloud infrastructure

    • Lead Data Scientist
      • Aug 2017 - Feb 2019

      - Lead a team of 2 data scientists, responsible for ML across the company- Full-stack data science, responsible for both model development and productizing- ML development for sales, marketing and retention: lead and opportunity scoring, churn risk, sentiment analysis, free trial conversion, marketing attribution- Productizing ML to Google Cloud - containerized models on Kubernetes for real-time scoring, Airflow jobs for batch scoring

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist
      • Aug 2015 - Aug 2017

      - Developed machine learning models focused on pricing, revenue growth, deal economics, and deployment patterns - Customer journey model to determine highest probability of upgrading, and highest value customers for AEs to target - Predict customer deployment patterns based on company metadata - use on large quantity purchases to properly ramp pricing - Built polynomial models to quantify volume discounting, and compare price premium between related products - Predicted whether or not each product is on target to meet its growth goal; communicate results to sales teams to properly plan sales strategy - Attributed overall change in average selling price to shifts in quantity and selling price at varying customer sizes; attributed change in revenue to changes in quantity and selling price (Taylor Series Expansion)

    • United States
    • Financial Services
    • 700 & Above Employee
    • Modeling Analyst
      • Jul 2014 - Aug 2015

      - Model developer responsible for the entire modeling process, from data collection and preparation through implementation and on-going monitoring - Built a probability of default (PD) model for CDF Inventory Finance (tier-one model: over $10B in exposure). Generalized linear mixed model with random effects calculated to make adjustments by industry (credibility theory to determine blend between overall model and segmented model). AUC improved by 0.14 and KS improved by 0.13 over the previous implemented model on test set - Built a model to determine the overall risk of the CDF Inventory Finance portfolio. Instead of using PD on a transactional basis, the model determines the overall risk using vector autoregression, with model inputs consisting of current and past economic factors. The model is segmented by industry using mixed model theory - Developed a PD model for origination of new customers using bureau data (tier-one model)

    • Graduate Assistant
      • Sep 2013 - May 2014

    • United States
    • Financial Services
    • 700 & Above Employee
    • Operations Intern
      • Jun 2013 - Aug 2013

    • United States
    • Accounting
    • 100 - 200 Employee
    • Consulting Intern
      • Aug 2012 - May 2013

    • Business Consulting and Services
    • 700 & Above Employee
    • Audit Intern
      • Jan 2013 - Mar 2013

    • United States
    • Aviation & Aerospace
    • 700 & Above Employee
    • Finance Intern
      • May 2012 - Aug 2012

    • United States
    • Retail
    • 700 & Above Employee
    • Intern
      • May 2011 - May 2012

Education

  • Arizona State University, W. P. Carey School of Business
    Master of Science, Business Analytics
    2013 - 2014
  • Arizona State University, W. P. Carey School of Business
    Bachelor of Science (B.S.), Accountancy
    2009 - 2013

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