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Description

Restless Bandit compiles and analyzes tens of millions of resumes and job postings each year to create its statistical Talent Rediscovery models, providing a valuable resource for exploring labor market dynamics. The dataset predominantly includes information from white-collar occupations, with this specific analysis utilizing 19,258,407 individual resumes. To categorize these resumes into industry classifications, the Restless Bandit data science team employed a vector space model to compare companies based on the resumes submitted. By scrutinizing millions of these documents, patterns begin to emerge indicating which companies tend to recruit similar talent. For instance, Eli Lilly frequently hires candidates from a cluster of firms including Merck and Novartis. Companies that exhibit a strong similarity in their hiring patterns are subsequently organized into specific industry segments. While ample data has been collected to assess diversity levels for each Global 2000 company, this report will concentrate solely on industry segments to ensure the confidentiality of corporate information. Additionally, this focused approach allows for a more comprehensive understanding of industry-wide trends without compromising individual company identities.

Description

ResuScan is an invaluable resource that allows users to evaluate the effectiveness of their resumes. It assesses whether your resume meets the criteria sought by both automated systems and hiring managers. To use it, simply upload your resume to the website, and ResuScan will handle the analysis. It examines the layout, the language, readability, completeness, and the compatibility of your resume with computer systems. Once the evaluation is complete, ResuScan provides you with a score and highlights potential issues. These issues may include missing information or layout problems that could lead automated systems to disregard your resume altogether. Additionally, ResuScan offers tailored suggestions for improvement, ensuring that your resume is optimized for the specific job you are targeting. By comparing your resume against industry standards, ResuScan aids individuals, including students and those in career transitions, in securing interviews more effectively. This comprehensive feedback can be pivotal in enhancing one’s chances of landing a desired position.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Greenhouse Yes 
Jit Yes 

Integrations

Greenhouse No 
Jit No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$3
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Restless Bandit

Founded

2014

Country

United States

Website

www.restlessbandit.com

Vendor Details

Company Name

Mployee.me

Founded

2021

Country

India

Website

www.mployee.me/keywords

Product Features

Recruiting

Assessments No 
Background Screening No 
CRM No 
Interaction Tracking No 
Internal HR No 
Interview Management No 
Job Board Posting No 
Job Requisition No 
Onboarding No 
Recruiting Firms No 
Reference Checking No 
Resume Parsing No 
Self Service Portal No 

Product Features

Resume Parsing

Automated Application Input No 
Automatic Updating No 
Customizable Macros No 
Data Extraction No 
Multi-Language No 
Resume Import No 
Resume Management No 
Semantic Matching No 
Social Media Corroboration No 
Sort / Filter No 
White Label Option No 

Alternatives

Alternatives

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