Holly Sweeney's Location
Seattle, Washington, United States, United States
Holly Sweeney's Contact Details
Holly Sweeney work email
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Holly Sweeney personal email
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Holly Sweeney phone numbers
About Holly Sweeney
Holly Sweeney is a Documentation Specialist at SAS at SAS. She possess expertise in statistics, sas, data analysis, statistical modeling, data collection and 19 more skills.
Holly Sweeney Work Experience Details
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Documentation SpecialistSas Aug 2024 - PresentCary, Nc, Us -
Senior Documentation Engineering ManagerSnorkel Ai Nov 2023 - Aug 2024Redwood City, California, Us• Building out a documentation function from the ground up.• Defined a long-term strategy and vision centered around four pillars: process, content, tech stack, and metrics.• Developed and presented a proposal to executive stakeholders, securing headcount for one additional team member.• Strategically set and prioritized milestones to achieve minimum viable documentation for integration into the public marketing website by October 2024.• Partnered with engineering leadership to fully integrate documentation into the agile development cycle. Created a forcing function in JIRA to prevent ticket closure until documentation is updated.• Identified critical scalability issues within the current documentation publishing tech stack, initiated research into alternative solutions, and began obtaining executive approval for migration to new tooling.• Updated 50+ pages of documentation for each product release. -
Documentation Engineering ManagerMeta Apr 2022 - Nov 2023Menlo Park, Ca, Us• Managed 12 documentation engineers across Core Systems, AI, and Open Source (OSS). • Consolidated all writers in the OSS space under the same leadership.• Developed a long term strategy, mission statement, and pillars to enable the team to focus on the highest impact projects and operate more efficiently.• Led the development of a docs-at-scale program for OSS docs so that the team can efficiently expand support beyond the engineering teams that have dedicated headcount: • Ran consultation and docathon services to assist teams with deploying auto generated docs, website design, information architecture design, and doc strings review. • Utilized Google Analytics and GitHub to develop metrics for OSS sites to quickly identify user painpoints and opportunities for growing adoption. • Created a catalog of self-service resources to eliminate redundant work and to enable engineers to quickly unblock themselves.• Collaborate with XFN peers and senior leadership on roadmaps and long-term strategy. • Used situational leadership to mentor and support career development from junior to principallevels, creating opportunities for them to utilize and grow their strengths.• Had timely conversations with team members about critical feedback, while working with them to plan course corrections and to reprioritize.• Navigated mental health concerns and connect team members to additional resources. -
Senior Documentation EngineerMeta May 2020 - Apr 2022Menlo Park, Ca, Us• Managed internal machine learning (ML) products and PyTorch documentation.• Subject Matter Expert for SQL, Presto, and Google Analytics; developed documentation metrics and dashboards to show the impact of documentation and drive the direction of future projects.• Maintained pytorch.org: a large scale and complex site comprised of a Sphinx site for documentation, a Sphinx Gallery site for tutorials, and a Jekyll site for marketing. Identified and fixed build and dependency issues on the sites.• Got buy-in from senior leadership on large scale documentation projects (e.g. a centralized ML portal with fundamentals, workflows, and information about all 120 tools and when to use them).• Improved documentation discoverability by 20% by devloping and rolling out SEO strategies. • Reduced the backlog of pull requests and issues in the PyTorch tutorials repo by 85%.Determined owners for each tutorial topic so that future PRs and issues are automatically triaged. • Editor and documentation engineering point of contact for Meta’s Open Source Blog.• Designed and wrote information architectures, workflows, landing pages, how-to guides, getting started guides, FAQs, etc. Created templates for engineers to use in their product documentation.• Facilitated docs-at-scale efforts (e.g. consultations, docathons) for teams that don’t havededicated docs headcount.• Collaborated with XFN partners on roadmaps, joint projects, and milestones.
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Technical WriterSas May 2018 - May 2020Cary, Nc, Us• Designed, wrote, and managed software documentation for ML products in an agile environment. • Designed information architectures for library-level collections in an XML based authoring system. • Developed getting started guides with programming examples in Python, R, and SAS.• Lead reviewer of REST APIs.• Collaborated with localization experts to develop globalized UI text and error messages. • Collaborated with tech support to gather user sentiment and close any documentation gaps. • Subject Matter Expert for SAS and Statistics; technical editor for white papers and SAS Books.
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Data ScientistSas Jun 2014 - May 2018Cary, Nc, Us• Built machine learning models to detect fraud and assess risk in the property/casualty insuranceand healthcare industries.• Designed and deployed automated processes that consume customer data daily through the ETL, modeling, and UI update process.• Led a team of data scientists and collaborated with XFN partners to deploy custom fraud detection products.• Led discussions with external customers to define requirements and project scope.
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StatisticianUs Army Research Laboratory - Human Research And Engineering Directorate Jun 2010 - 2013Assisted researchers with their projects in the field of Human Factors Engineering. Tasks included assisting with data collection, data analysis, writing up and presenting findings, and literature reviews. The projects were designed to optimize tools and training given to soldiers.
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Research - Environmental StatisticsNorth Carolina State University Aug 2011 - Aug 2012Raleigh, North Carolina, UsWorked under Professor William Hunt. Studied historical heat wave trends in North Carolina. Developed a regression model that controlled for the effects of air pollution to extract and quantify the effects of heat waves on ozone levels. -
Research - BioinformaticsNorth Carolina State University May 2011 - Aug 2012Raleigh, North Carolina, UsWorked under Dr. Alison Motsinger-Reif and Dr. David Reif. Created a simulation-based study to optimize the performance and efficiency of multifactor dimensionality reduction in the case of genetic heterogeneity. Compared the performance and efficiency of using cross validation and the three-way split for internal model validation.
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Statistics ConsultantNorth Carolina State University Jan 2012 - Jun 2012Raleigh, North Carolina, UsProvided SAS consulting and programming services to undergraduate, Masters and PhD candidates. Assisted candidates with statistical analysis in the fields of agriculture, food science, crop science, and the social sciences.
Holly Sweeney Skills
Statistics
Sas
Data Analysis
Statistical Modeling
Data Collection
Data Mining
Experimental Design
Jmp
R
Analysis
Literature Reviews
Predictive Modeling
Sas Programming
Mathematical Modeling
Programming
Quantitative Analytics
Mathematics
Microsoft Office
Logistic Regression
Linear Algebra
Research
Linear Regression
Survival Analysis
Spss
Holly Sweeney Education Details
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Institute For Advanced AnalyticsAnalytics -
North Carolina State UniversityStatistics
Frequently Asked Questions about Holly Sweeney
What company does Holly Sweeney work for?
Holly Sweeney works for Sas
What is Holly Sweeney's role at the current company?
Holly Sweeney's current role is Documentation Specialist at SAS.
What is Holly Sweeney's email address?
Holly Sweeney's email address is ho****@****sas.com
What is Holly Sweeney's direct phone number?
Holly Sweeney's direct phone number is +191967*****
What schools did Holly Sweeney attend?
Holly Sweeney attended Institute For Advanced Analytics, North Carolina State University.
What skills is Holly Sweeney known for?
Holly Sweeney has skills like Statistics, Sas, Data Analysis, Statistical Modeling, Data Collection, Data Mining, Experimental Design, Jmp, R, Analysis, Literature Reviews, Predictive Modeling.
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