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Hannah Siegel

J.S. Held Examines Multifaceted, Global Business Impacts of Tariff and Trade Policies

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Hannah Siegel is a detail-oriented data analyst with a background in consulting and financial services. She is experienced in developing data-driven analyses to solve challenging problems and provide support for government investigations. 

Hannah is a Senior Consultant on the Investigative Data Analytics team within DI&D, where she leverages her expertise in data analytics and collaboration to deliver innovative solutions to clients. She contributes to a diverse range of projects across multiple business groups, undertaking a wide variety of tasks beyond traditional data analysis.

Hannah received a Bachelor of Science degree in Industrial Engineering from the McCormick School of Engineering at Northwestern University.

Key Expertise

  • Data Analytics
  • Structured Query Language (SQL)
  • Programming Languages (R, Python)
  • Financial Services
  • Fraud Investigations
  • Data Visualization

Professional Certifications

  • HarvardX Professional Certificate in Data Science
  • IBM Analyzing Data with Python
  • IMB SQL for Data Science

Insights by Hannah Siegel

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Integrating Data Analytics Into a Financial Investigation
This article explains how seamlessly weaving data analytics and forensic accounting together delivers better results for financial investigations.
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