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Ryan Scholten

@ryanscholten

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Sports betting analytics professional applying odds and pricing analysis to a six-league AI-assisted betting model.

United States

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What I'm looking for

I'm now applying my analytics and operations expertise to sports betting, focusing on odds and pricing analysis, player and market modeling, and sportsbook operations.

I customized an AI-assisted betting model across six leagues, selecting and weighting league-specific inputs and tuning it to recommend bets with a 2%+ expected-value edge over sportsbook odds. I also configured quarter-Kelly bankroll management and an anti-bias check.

At Harris Poll, I owned a $1MM+ annual operations budget and built Power BI and Tableau dashboards connected through an API. I cut operating costs by 35% and turnaround time from five days to three by launching products and automating workflows.

At NielsenIQ, I redesigned the global BASES production process, cutting cycle time by 33%, and built Python tools that improved data quality and reduced survey build time by 30%. I also worked with segmentation algorithms, MaxDiff, and choice modeling, and completed the Master Certification in Sports Gambling Education at Ohio University.

Experience

Work history, roles, and key accomplishments

Director, Programming & Data Visualization

Harris Poll

Jul 2021 - Sep 2026 (5 years 2 months)

Owned a $1MM+ annual budget as head of central operations for programming and data visualization. Built Power BI and Tableau dashboards and data products through an API, cut operating costs 35%, and led a 40+ person team across three continents.

Power BI Tableau API Integration Vendor Management Budget Management Team Leadership Data Visualization Operations Strategy

Operations Improvement Specialist, Platform Evolution

NielsenIQ

Feb 2019 - Jul 2021 (2 years 5 months)

Redesigned the global BASES end-to-end production process, cutting cycle time 33%. Saved 200+ hours per year by diagnosing workflow bottlenecks and leading fixes with operations, commercial, and product leaders.

Process Improvement Workflow Optimization Cross Functional Collaboration Data Analysis

Survey Technical Consultant, Data Acquisition

NielsenIQ

May 2017 - Feb 2019 (1 year 9 months)

Built Python tools that improved data quality and cut survey build time 30%. Trained programming and project staff and advised on project scope, cost, and proposals.

Python Survey Programming Data Quality Training Project Scoping

Senior Programmer, Data Acquisition

NielsenIQ

Aug 2011 - May 2017 (5 years 9 months)

Designed and implemented segmentation algorithms for high-stakes client analyses on the Confirmit platform. Served as lead expert on MaxDiff and choice modeling, quantifying how consumers trade off price against features.

Confirmit Segmentation Max Diff Choice Modeling Team Leadership Client Consulting

Sample Specialist; CAPI Programmer

NielsenIQ

Aug 2001 - Aug 2011 (10 years)

Forecast study feasibility from panel capacity and demographics, managed panel sample through SQL database, and programmed surveys for P&G, Unilever and PepsiCo.

SQL Survey Programming Panel Management Feasibility Analysis