Janet Dwyer

Janet Dwyer Email and Phone Number

CEO/Cofounder/Inventor | 3 U.S. Patents | DataScava - Unstructured Data Miner | Domain-Specific Language Processing #DSLP | Weighted Topic Scoring #WTS | TalentBrowser - Automated Skills Analytics/Talent Matching @ DataScava
Janet Dwyer's Location
New York, New York, United States, United States
Janet Dwyer's Contact Details
About Janet Dwyer

CEO/Cofounder/Inventor with John Harney of DataScava, TalentBrowser, and Integretech. Our unstructured text data mining solutions are built upon 2 U.S. Patents in "Profile Matching of Unstructured Documents" and 20+ years of combined financial services, software product development, and I.T. recruitment for Wall Street. About DataScavaPinpoint 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. 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.Our practical, easy-to-use toolset lets you capture the business ontologies that provide the critical bridge between unstructured data analysis using standard data science techniques and the human expertise that gives your business its competitive edge. They enable a more data-centric approach to business applications, with topic models which reflect the primary areas of focus, flexible topic scoring to encode your organization’s priorities, and customized text processing that mirrors the way people actually communicate in the industry. Tailored Topics Taxonomies (TTS), Domain-Specific Language Processing (DSLP), and Weighted Topic Scoring (WTS) work as an alternative or adjunct to Natural Language Processing (NLP). DataScava powers TalentBrowserTalentBrowser gets the most from the raw text on profiles, resumes, job descriptions, and more, working alone or with your existing solutions 24/7. Automated Skills Analytics, Domain-Specific Search, and Patented Weighted Matching pinpoint, measure, and match the skills, experience, and roles you define of in-house talent, job applicants, and previously-sourced candidates automatically. Our tools generate weighted topic scores and other value-added metadata for use in AI, People Analytics, Talent Intelligence, Talent Matching, People Analytics, Workforce Planning, Resource Management, and other HCM initiatives.

Janet Dwyer's Current Company Details
DataScava

Datascava

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CEO/Cofounder/Inventor | 3 U.S. Patents | DataScava - Unstructured Data Miner | Domain-Specific Language Processing #DSLP | Weighted Topic Scoring #WTS | TalentBrowser - Automated Skills Analytics/Talent Matching
Janet Dwyer Work Experience Details
  • Datascava
    Ceo/Cofounder
    Datascava Jan 2018 - Present
    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.
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  • Talentbrowser
    Ceo/Cofounder
    Talentbrowser 2012 - Present
    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.
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  • Integretech
    Ceo/Cofounder
    Integretech Mar 2003 - Present
    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.
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  • Key Tech, Inc.
    Managing Partner
    Key Tech, Inc. 2000 - 2002
    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.
  • Select Group, Inc.
    District Manager
    Select Group, Inc. 1996 - 1999
    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.).

Janet Dwyer Skills

Technical Recruiting Recruiting Temporary Placement Applicant Tracking Systems Management Sdlc Crm Interviews Vendor Management Staff Augmentation Hiring Software Development Information Technology Business Analysis Financial Services Executive Search Talent Acquisition Executive Management Search Business Intelligence Investment Banking Consulting Software Development Life Cycle Change Management Talent Management Contract Recruitment Staffing Services Internet Recruiting Professional Services Business Networking Customer Relationship Management Screening Resumes Outsourcing Temporary Staffing Client Development Hr Consulting Permanent Placement Sourcing Screening Databases College Recruiting Resource Management Resume Writing Cold Calling Onboarding Enterprise Software I.t. Staffing Full Cycle Recruiting Saas Employer Branding

Janet Dwyer Education Details

  • Adelphi University
    Adelphi University

Frequently Asked Questions about Janet Dwyer

What company does Janet Dwyer work for?

Janet Dwyer works for Datascava

What is Janet Dwyer's role at the current company?

Janet Dwyer's current role is CEO/Cofounder/Inventor | 3 U.S. Patents | DataScava - Unstructured Data Miner | Domain-Specific Language Processing #DSLP | Weighted Topic Scoring #WTS | TalentBrowser - Automated Skills Analytics/Talent Matching.

What is Janet Dwyer's email address?

Janet Dwyer's email address is jd****@****ser.com

What is Janet Dwyer's direct phone number?

Janet Dwyer's direct phone number is +164677*****

What schools did Janet Dwyer attend?

Janet Dwyer attended Adelphi University.

What skills is Janet Dwyer known for?

Janet Dwyer has skills like Technical Recruiting, Recruiting, Temporary Placement, Applicant Tracking Systems, Management, Sdlc, Crm, Interviews, Vendor Management, Staff Augmentation, Hiring, Software Development.

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