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Résumé

Logan Schultheis

Senior Data Scientist

logan.schultheis@berkeley.edu(805) 405-1599Berkeley, CAloganschultheis.comLinkedInGitHub

Profile

Data scientist with experience in predictive modeling, economic research, and large-scale data systems. Apply machine learning and statistical analysis to real-world problems, build efficient data pipelines, and communicate findings to technical and non-technical stakeholders.

Professional experience

Equifax Senior Data Scientist

Apr 2022 — Present

  • Developed predictive models using traditional and alternative data for credit-risk assessment, supporting the underwriting of millions of dollars in loans in the specialty finance industry.
  • Used Google Cloud Vertex AI, Dataproc, BigQuery, and Apache Spark to securely and efficiently analyze millions of consumer records.
  • Created Apache Airflow pipelines to transform and load terabytes of consumer credit data.
  • Conducted data preprocessing and feature engineering to optimize model performance and improve predictive accuracy.
  • Communicated technical concepts and analytical findings to stakeholders with varying levels of technical expertise.
  • Created visualizations using Matplotlib, Seaborn, and ggplot2 to communicate complex insights.

Federal Reserve Board Senior Research Assistant

May 2017 — Jul 2020

  • Conducted economic research in finance and industrial organization in collaboration with economists.
  • Produced statistical analyses for banking regulation, monetary policy, and academic research.
  • Supported data gathering, cleansing, engineering, and analysis using natural language processing, web scraping, and machine learning.
  • Developed an ETL pipeline in Python, R, and Bash to update and maintain a MySQL database and data dashboard.
  • Created data visualizations in R and Python for reports to Congress and the Board of Governors.

Education

University of California, Berkeley

Dec 2021

MEng, Industrial Engineering and Operations Research

Fung Excellence Scholarship

University of California, Davis

Dec 2016

BS, Economics, Mathematical Analytics and Operations Research

Highest Honors

Technical skills

Languages: Python, SQL, R, Bash
Machine learning & analytics: Scikit-learn, XGBoost, statistical modeling, feature engineering
Data & cloud: Apache Spark, BigQuery, Vertex AI, Dataproc, Apache Airflow, MySQL
Visualization & development: Matplotlib, Seaborn, ggplot2, Git