Asher Worley
Mathematician
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About
Results-driven and innovative technical professional with a strong background mathematics, data analysis, machine learning, and algorithm development. As the Chief Data Scientist and member of the executive team at PHS, LLC, I've demonstrated leadership in working with a variety of individuals to strategize and execute collaborative projects, leveraging diverse skill sets to innovate solutions, meet deadlines, and achieve goals. I have experience managing databases, implementing machine-learning solutions, and ensuring employee productivity.
My hands-on experience in analysis and mathematical modeling, combined with my ability to strategize and communicate effectively, positions me as a valuable asset for roles requiring a blend of technical acumen and strategic thinking.
Experience
Data Analyst - CWS Research - Austin, TX
(2024-03 - 2025-12)
- Developed comprehensive polling analysis methodologies
- Processed polling data and produced analytical reports
- Built digital audiences for polling, ensuring accurate reflection of underlying demographic
- Managed walkbook teams and volunteer data
- Automated and managed digital advertising data processing
Chief Data Scientist - PHS, LLC - Fort Worth, TX
(2022-03 - 2023-12)
- Managed and built experimental machine learning algorithms for data ingestion
- Implemented open source machine learning techniques and models
- Directed the development of a state-of-the-art and comprehensive database
- Managed the company's voter database, ensuring accuracy and accessibility
- Managed email servers and systems, optimizing communication within the organization
- Utilized open source machine learning models to implement production-level transcriptions
- Created algorithmic data matching systems to support advanced analytics, improving matching rates by over 28%
Data Operative - Don Huffines Campaign - Dallas, TX
(2021-08 - 2022-03)
- Processed and incorporated data requests from coworkers into the voter database
- Managed a large database of donors and voters, maintaining data integrity
- Created machine learning models and voter propensity models to aid in decision-making
- Collaborated with management to utilize data insights for critical processes
Education
Bachelor of Science - Applied Mathematics - Montana State University (2016-08 - 2021-05)
