Janet Dwyer Email & Phone Number

New York, Ny, Us

DataScava pinpoints valuable unstructured data with precision using your unique business and domain-specific language. Tap into your expertise to harness tailored data solutions for a wide range of applications, including AI, LLMs, ML, RPA, BI, Research, Talent, and more. Curate, measure, filter, match, label, and route raw text automatically with prioritized Weighted Topic Scoring metadata derived from criteria you define.Keep the human in command with the patented matching technology you control. Our proprietary Domain-Specific Language Processing (DSLP), Weighted Topic Scoring (WTS), and Tailored Topics Taxonomies (TTS) methodologies work as an alternative or adjunct to NLP and NLU. Model and capture features and topics within heterogeneous text using specialized taxonomies you can edit, create, and import to capture your business language and domain expertise, allowing for the highly customized vocabulary and specific business logic necessary for complex document processing.Use DataScava to curate quality training data sets to unleash AI and optimize ML models; identify BI or Research data; filter emails, inquiries, or tickets for service desks or RPA; mine notes, news, reports, contracts, or transcripts; identify skills for People Analytics or Talent Acquisition; and more.Powered by DataScava’s domain-specific unstructured data miner, TalentBrowser gets the most from the raw text on profiles, resumes, job descriptions, and more, working alone or with your existing solutions 24/7.It measures and matches the skills, experience, and roles you define of in-house talent, job applicants, and previously-sourced candidates automatically, keeping the Human in Command.Our tools generate weighted topic scores and other value-added metadata for use in People Analytics, Talent Matching, Talent Acquisition, Workforce Planning, Resource Management, and other HCM initiatives.

New York, Ny, Us

Our Automated Skills Analytics, Domain-Specific Search, and Patented Weighted Matching are powered by DataScava’s unstructured data miner.TalentBrowser gets the most from the raw text on profiles, resumes, job descriptions, and more, working alone or with your existing solutions 24/7.It pinpoints, measures, and matches the skills, experience, and roles you define of in-house talent, job applicants, and previously-sourced candidates automatically, keeping the Human in Command.Our tools generate weighted topic scores and other value-added metadata for use in AI, Talent Intelligence, Talent Matching, People Analytics, Workforce Planning, Resource Management, and other HCM initiatives.DataScava's Domain-Specific Language Processing (DSLP), Weighted Topic Scoring (WTS), and Tailored Topics Taxonomies (TTS) methodologies work as an alternative or adjunct to Natural Language Processing (NLP) and Natural Language Understanding (NLU).Visit our websites to learn more.

New York, Ny, Us

In 2003 Integretech built TalentBrowser for our own use to provide technology and financial recruitment services to to Wall Street, the Fortune 500 and high-tech firms. TalentBrowser is powered by DataScava’s unstructured data mining technology and patents in “Profile Matching of Unstructured Data."Integretech provides recruitment services to our valued clients in the competitive world of technology staffing for both direct hire and contract positions in financial services, pharmaceutical, healthcare, insurance, ecommerce and other industries. Positions ranged from front-to-back office Derivatives, Fixed Income and Equities Trading and a wide variety of skill sets, including mobile, web, multi-tier technologies, client/server, object-oriented software systems.

Joined this startup company former by former EDS executives in a senior Sales/Recruiting role focused on Technology recruitment for Wall Street's financial services firms. Acquired equity after exceeding revenue expectations within six months.

District Manager/Account Manager/Sr. Technology/Financial Services Recruiter for this firm which specialized in recruitment of tecnical candidates with Investment Banking and Capital Markets experience (Derivatives, Fixed Income, Equities, Commodities, etc.).