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Holly Dye-Clark

@hollydye-clark

Data scientist skilled in ML, statistical analysis, and emergency data workflows.

United States
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What I'm looking for

I seek a role leveraging ML and statistical analysis to drive operational decisions, with collaborative culture, opportunities to deploy models in production, and room for leadership growth.

I am a data scientist with hands-on experience applying Python, R, SQL, and machine learning to solve operational and stakeholder-facing problems, particularly within emergency management and restoration. I have built and deployed predictive models (churn prediction with F1=0.601, AUC-ROC=0.844), performed extensive EDA, and produced actionable reports that informed program decisions.

My background combines field inspection expertise—using FLIR thermal imaging, drones, 360° cameras, and moisture detection—with team leadership and stakeholder communication across statewide programs. I streamline data collection workflows, manage cross-functional teams, and present findings clearly to drive data-driven outcomes.

Experience

Work history, roles, and key accomplishments

AS

Senior Technical Advisor

Access Restoration Services

Sep 2022 - Jun 2023 (9 months)

Collected and structured field data using advanced imaging and sensors to support damage modeling and geospatial analysis, and streamlined inspection workflows to improve efficiency and data accuracy.

CR

Supervisor

Combs Restoration

May 2021 - Jul 2021 (2 months)

Supervised a demolition crew, enforcing safety compliance, monitoring site conditions, and reporting progress to project management to ensure safe and timely project execution.

Education

Degrees, certifications, and relevant coursework

TR

TripleTen

Certificate, Data Science

2025 - 2026

Completed an intensive Data Science program covering Python, exploratory data analysis, data visualization, SQL, machine learning, and version control.

University of Florida logoUF

University of Florida

Bachelor of Science, Wildlife Ecology & Conservation

Grade: GPA: 3.81, Magna Cum Laude

Bachelor of Science in Wildlife Ecology & Conservation with quantitative coursework including Quantitative Wildlife Ecology and Wildlife Population Ecology using R.

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Holly Dye-Clark - Data Scientist - Independent Projects | Himalayas