Identify if resume is for pharmaceutical
using AI
Below is a free classifier to identify if resume is for pharmaceutical. Just input your text, and our AI will predict if the resume is suitable for the pharmaceutical industry - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-resume-is-for-pharmaceutical", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-resume-is-for-pharmaceutical/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/if-resume-is-for-pharmaceutical/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the resume is suitable for the pharmaceutical industry.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Not Pharma and Pharma Focused.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the resume is suitable for the pharmaceutical industry).
Whether you're just curious or building if resume is for pharmaceutical detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if resume is for pharmaceutical at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Recruitment Screening: This function can be utilized by HR departments in pharmaceutical companies to quickly identify candidates whose resumes specifically mention experience or qualifications relevant to the pharmaceutical industry. This streamlines the recruitment process by narrowing down the applicant pool to those who meet the industry-specific criteria.
- Market Analysis: Business analysts can use this text classification tool to assess the prevalence of pharmaceutical-related skills in the job market. By analyzing a large volume of resumes, companies can gain insights into emerging trends and skill sets that are in demand within the pharmaceutical sector.
- Tailored Training Programs: Learning and development teams can leverage the insights from this classification to design specialized training programs that address the skills gap among employees. By identifying common background traits in resumes, organizations can tailor their training efforts to enhance competencies related to pharmaceuticals.
- Candidate Comparison: Hiring managers can use this identifier to compare candidates effectively by filtering resumes that are relevant to pharmaceutical fields. This allows for a clearer assessment of how each candidate's experience aligns with the specific needs of the role, leading to more informed hiring decisions.
- Diversity Initiatives: Organizations aiming for diversity can use this function to track and analyze the backgrounds of applicants within the pharmaceutical industry. This helps companies in creating data-driven strategies to promote inclusivity and widen their recruitment channels.
- Outplacement Services: In the context of downsizing or layoffs, outplacement services can apply this classifier to assist affected employees in identifying new opportunities within pharmaceutical companies. By matching their skills with market needs, job placements can be accelerated for those seeking new employment.
- Compliance and Reporting: Regulatory compliance teams can use this identifier to monitor and report on the workforce composition of pharmaceutical-related roles within their companies. This ensures that organizations maintain transparency and can provide relevant data for compliance with industry regulations and governmental reporting requirements.