ls.

Logan Schultheis · Data Scientist

From complex data.
To clear decisions.

I build predictive models and scalable data systems that turn real-world complexity into practical insight.

View my résumé Explore my experience
Machine learning. Economic research. Measurable impact.

A foundation in
industry & research

EquifaxFederal Reserve BoardUC Berkeley MEng

01 / Experience

Analytical rigor.
Real-world application.

From economic research to credit-risk modeling, my work connects technical depth with decisions that matter.

APR 2022 — PRESENT

Equifax

Senior Data Scientist

Better insights for credit decisions.

Develop predictive models using traditional and alternative data for credit-risk assessment, supporting millions of dollars in specialty-finance lending.

  • Analyze millions of consumer records with Vertex AI, Dataproc, BigQuery, and Apache Spark.
  • Build Airflow pipelines to transform and load terabytes of consumer credit data.
  • Translate model results and analytical findings into clear insights for stakeholders.
Predictive modelingGoogle CloudData pipelines
MAY 2017 — JUL 2020

Federal Reserve Board

Senior Research Assistant

Research that informs policy.

Collaborated with economists on finance and industrial-organization research, producing statistical analyses for banking regulation, monetary policy, and academic research.

  • Applied natural language processing, web scraping, and machine learning to research data.
  • Developed Python, R, and Bash pipelines for a MySQL database and data dashboard.
  • Created visualizations for reports to Congress and the Board of Governors.
Economic researchStatistical analysisData visualization

02 / Expertise

The tools behind
the insight.

Explore my GitHub

Model & predict

Statistical foundations and machine learning to find patterns, assess risk, and support better decisions.

Python / R / Scikit-learn / XGBoost

Build & scale

Reliable pipelines and cloud analytics that make large, complex datasets usable.

SQL / Spark / BigQuery / Airflow

Explain & inform

Clear visualizations and thoughtful communication that connect analytical findings to their implications.

Matplotlib / Seaborn / ggplot2
Logan Schultheis
LOGAN SCHULTHEIS DATA SCIENTIST

03 / A little about me

Curiosity, grounded
in quantitative thinking.

I’m a data scientist with a background in economics and operations research. I enjoy working through complex problems, building practical solutions, and making the results understandable.

My experience spans public-sector research and industry, with a focus on machine learning, large-scale data, and the decisions they can improve.

2021 · UC BERKELEY

Master of Engineering

Industrial Engineering & Operations Research

Fung Excellence Scholarship
2016 · UC DAVIS

Bachelor of Science

Economics, Mathematical Analytics & Operations Research

Highest Honors

Let’s connect

Good work starts with
a conversation.

Have a data science opportunity or an interesting problem in mind?

Get in touch
Email LinkedIn GitHub Résumé