Cindy Reiner
NLP Engineer | Expert in ML/AI Applications | PhD in Pharmacology
8 yrs experience · Seattle, WA · <10 hrs/week
About
Data Scientist combining 8+ years of quantitative analysis and research expertise with 4+ years of machine learning implementation. Specialized in NLP, cloud-based AI systems, and cross-functional technical leadership. Ph.D.-trained researcher with proven ability to translate complex business challenges into data solutions. Track record of delivering measurable impact across government, startup, and research environments, with experience in system development, building client relationships and developing machine learning models. Learning, Exploring and Problem Solving are the driving forces in my life. Whether it's exploring the world, cellular mechanisms or a new dataset, I am eager to investigate the background and underlying assumptions being made and what they mean for the bigger picture. Figuring out the how and why behind how things are can help find the right path forward. I’ve found that data science is the perfect outlet for this drive- the field is complex and ever-changing, so there is always something to learn, new data to explore and many problems that can be solved more efficiently using data.
Skills
Experience
- Senior Data Science Consultant · Booz Allen Hamilton02-01-2022 –
Delivered AI/ML implementations for 3 federal contracts and a nonprofit organization. Conducted stakeholder interviews to identify AI automation opportunities and gather requirements. Designed and implemented data processing pipelines for disparate datasets, enabling cross-departmental analysis and improving data interoperability. Collaborated with SMEs to develop a classification model for a specialized document search system, iteratively improving model performance through expert feedback and sampling optimization. Implemented prompt engineering pipeline to generate pandasAI code for automated visualizations in RAG-based AI assistant for contract analysis tasks.\n\nKey Achievements: Developed a topic modeling tool that reduced literature review time from days to hours, leading to approval for continued AI capabilities. Reduced manual dataset integration time to automated processing, enabling cross-agency analysis of government agency and subagency data. Deployed classification system to production, serving analysts and personnel while also building a separate regex component for PII detection in classified documents. Contributed to proof-of-concept chatbot interface on AWS (EC2/S3) enabling automated contract analysis and data visualization for business development teams.
- School Success Advocate (1st Employee) · Jovial02-01-2018 – 09-01-2020
Led technical support operations for SaaS education platform, managing technical operations and stakeholder relationships for 200+ client organizations. Developed customer success strategies and technical documentation, ensuring smooth software adoption and high client satisfaction rates. Implemented JIRA ticketing system to facilitate communications between tech support and developers. Provided software demos and onboarding for new clients.\n\nKey Achievements: Contributed to doubling client base and achieving company profitability. Grew customer newsletter from 0 to 1,000+ subscribers, increasing engagement and retention rates.
- Editor · AJE - American Journal Experts08-01-2012 – 04-01-2014
Edited ESL scientific manuscripts to improve their chances of publication in English language journals. Adhered to deadlines and organization’s editing specifications.
- Post-Doctoral Fellow · University of Washington08-01-2008 – 12-01-2010
Led independent research program investigating protein-protein interactions and cellular signaling pathways, managing experimental design, execution and analysis for multiple concurrent projects.\n\nKey Achievements: Published 2 first-author peer-reviewed papers and a textbook chapter. Developed protein complex isolation protocol, which identified novel RACK1-M2 receptor interaction. Mentored graduate, undergraduate and high school students in research projects.
Education
- University of WashingtonPhD, Pharmacology
- Flatiron SchoolData Science Bootcamp
- University of MinnesotaB.S., Biochemistry
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