Areas of Expertise
- Database Management
- Statistical Modeling
- Root Cause Analysis
- Time Series Forecasting
- Data Extraction
- Data Aggregation
- Data Visualization
Industries
- Manufacturing
- Consumer Products
- Retail
- Insurance
- Hospitality
- Technology Services
- Software
Education
- MS Data Analytics, Georgia Institute of Technology
- BS Chemical Engineering, Auburn University
Experience
- 3 Years with Firm
- 7 Years of Relevant Experience
Biography
Brian Keith serves as Director of Data Analytics and leads
the Forensic Data Analytics division at B. Riley Advisory Services, bringing
over 7 years of experience analyzing complex, high-volume datasets. He leads
the firm's "big data" engagements, guides advanced analytics
initiatives, and develops sophisticated algorithms for unique data challenges. In
addition to his client work, Brian also serves as a thought leader on B.
Riley's AI Policy and Strategy Committee.
Brian's diverse engagement experience includes:
- Large class action lawsuits related to warranty claims, medical billing, data breaches, and data privacy involving tens of millions of plaintiffs.
- Business to business disputes related to millions of packages for one of the world's commercial shipping companies.
- Breach of contract claims ranging from auto parts manufacturers to medial provider networks.
- Financial fraud including embezzlement, fake trades, and funds tracing.
- Expert rebuttals utilizing statistics, sampling methods, and fundamental principles testing.
- Financial modeling and data management for over $1 billion worth of cumulatively purchased consumer receivables.
- Serving as a technical advisor to the Trustee in the Chapter 11 bankruptcy of a large financial technology company.
- Utilizing backend database systems of a defunct company to assist two of the world's leading credit card processors to resolve disputes.
- Providing database management, investigation, and reporting services to a private investment firm.
Brian is fluent in general-purpose and specific-purpose
programming languages including Python, R, and SQL, with a working knowledge of
other languages such as JavaScript, HTML, and VBA. He has experience utilizing
and managing a variety of cloud storage and computing environments such as Azure
, AWS, and MongDB. His skill set includes advanced analytics techniques such as
web scraping, computer vision, and machine learning.
Previously, Brian applied his data analytics skills in the
Pulp & Paper and Mining industries, where he specialized in process
optimization and developing Python-based analytics tools. An experienced public speaker, Brian has
authored numerous presentations on the use of advanced data analytics for
various professional organizations including the Institute of Internal Auditors
(IIA), Association of Certified Fraud Examiners (ACFE), and National
Association of Certified Valuator and Analysts (NACVA).
Brian holds a BS in Chemical Engineering from Auburn
University and an MS in Data Analytics from Georgia Tech.