Matt Tidmore
Data Scientist & Palantir Engineer at Booz Allen with a MPH in Epidemiology/Bio-statistics
- Role
- Associate Data Scientist Palantir Engineer at Booz Allen Hamilton
- Location
- Atlanta, GA, US
- LinkedIn followers
- 500 followers
About Matt Tidmore
I sit at the intersection of public health methodology and scalable data science. With a background in Epidemiology and Biostatistics, I specialize in building robust data lineages and consolidating complex pathogen workflows into actionable insights.My expertise lies in leveraging tools like Palantir Foundry, PySpark, and R to bridge the gap between technical infrastructure and stakeholder needs. I thrive as a technical translator—aligning diverse lines of business to ensure that data architecture serves the ultimate goal of public health advancement.Core Competencies-Data Engineering: Pipeline consolidation, Data Lineage, SQL, PySpark-Public Health: Epidemiological Methodology, Biostatistics, Pathogen Workflow Analysis-Strategic Collaboration: Stakeholder management and cross-functional team leadership.
Experience
Associate Data Scientist Palantir Engineer
Apr 2024 — Present · Atlanta, GA, US
Public Health Data Science Consultant | CDC (Palantir Foundry)Architecting enterprise-level data solutions for the Centers for Disease Control and Prevention (CDC) within the Palantir Foundry ecosystem. I specialize in building the \"Response Ready\" infrastructure necessary for modern epidemiology—transforming fragmented data into unified, actionable Ontologies.Strategic Project Leadership-1CDP & RREDI (BSPB): Engineering robust data lineages and PySpark pipelines for the Bacterial Special Pathogens Branch to ensure high-priority data is \"Response Ready.\"-DMAC & NWSS: Accelerating data modernization efforts for the National Wastewater Surveillance System, creating scalable workflows that translate environmental data into public health intelligence-Technical Training: Leading training and development initiatives to upskill cross-functional teams on Foundry best practices and data workflow optimization.Technical Stack: Data Engineering: PySpark, SQL, Python, Pandas, Data Lineage, SQL.Web & Visualization: JavaScript, TypeScript, HTML, CSS, Slate, Contour, Notepad, Quiver.Methodology: R, Biostatistics, Epidemiological Modeling.
Education
Valdosta State University
Bachelor of Science (BS), Environmental Science
2003 — 2008
Georgia State University
Master of Public Health (MPH), Epidemiology
2014 — 2017
Skills
- Blogging
- Sales
- Data Center
- Marketing
- Biostatistics
- Graphic Design
- Gis
- Sas
- Data Collection
- Project Management
- Html
- R
- Content Management
- Javascript
- Website Consultation
- Angularjs
- Social Media
- Saas
- Research
- Photoshop
- Adobe Social
- Optimization
- Direct Marketing
- Epidemiology
- Environmental Science
- Strategic Planning
- Analytics
- Customer Service
- Business Analysis
- Enterprise Software
- Business Development
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