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AkkenCloud

AkkenCloud is a staffing and recruiting software platform designed to streamline operations for staffing agencies and recruiting firms. It offers features such as applicant tracking, customer relationship management, payroll integration, and reporting tools to enhance efficiency in talent acquisition and workforce management.

Howdy Network Rank#17

Top 5*

Applicant Tracking

13.0%Recruitive

11.5%Pcrecruiter

11.5%RecruitX

11.5%Recruitee

11.5%erecruit

40.9%Others

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About AkkenCloud

AkkenCloud was developed as a staffing and recruiting software solution to address the operational needs of staffing agencies and recruiting firms. It was created to provide a comprehensive platform that included applicant tracking, customer relationship management, and other essential tools for improving efficiency in talent acquisition processes. Specific details about its founders or the exact year of creation are not definitively documented.

Strengths of AkkenCloud included its comprehensive features like applicant tracking, CRM integration, and payroll capabilities, which enhanced operational efficiency for staffing firms. Weaknesses might have involved a learning curve for new users or limitations in customization. Competitors included Bullhorn, JobDiva, and Crelate Talent, which also offered similar staffing and recruiting solutions.

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How to hire a AkkenCloud expert

An AkkenCloud expert must have skills in navigating and configuring the platform, including proficiency in applicant tracking system (ATS) functionalities, CRM management, and payroll integration. Familiarity with data reporting and analytics within AkkenCloud is essential, as well as the ability to customize workflows to meet specific organizational needs.

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Luiz A.

Machine Learning/AI Engineer

Skills

Google ViT (Vision Transformer)

Rpl

Recruitee

Bio

A proficient researcher and developer with significant expertise in biological molecular research and diagnostic imaging technologies, specializing in public health solutions. Developed and assembled hardware for diagnostic equipment, leading to the publication of three Python packages aimed at enhancing system functionality. Experienced in computer vision, having designed feature extractors and combiners that utilize machine learning methodologies for data analysis. Holds a Master's degree in Materials Engineering and Sciences and a Bachelor's degree in Physics from a leading institution, demonstrating a solid foundation in scientific principles and applications.

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