# Applicant Authenticity Analyzer Latest Results

**Use case:** 

Latest Results of Applicant Authenticity Analyzer. Structured, ready-to-use data exported in seconds for research, monitoring, or lead generation.

## Input

```json
{
  "applicationText": [
    "Name: Jordan Matthews\nEmail: jordan.matthews@samplemail.com\nPhone: +1 (206) 555-0173\nLocation: Seattle, WA\nLinkedIn: linkedin.com/in/jordan-matthews-data\nSummary: Data scientist with eight years of experience building production-grade machine learning systems for fraud detection and customer analytics. Led cross-functional teams delivering models that reduced chargebacks by 18% and improved lead scoring accuracy by 22%. Skilled at translating business goals into deployable models with clear monitoring.\nExperience: Senior Data Scientist — Stripe (2021–Present): Designed real-time risk models using transaction and behavioral signals; partnered with engineering to ship models with feature stores and continuous evaluation. Data Scientist — Dropbox (2017–2021): Built churn prediction pipelines, delivered uplift models for trials, and launched dashboards tracking retention KPIs. Junior Data Scientist — Zillow (2015–2017): Implemented pricing signal features and collaborated with analysts on A/B experiments.\nEducation: M.S. in Statistics — University of Washington (2015)\nSkills: Python, TypeScript, SQL, Spark, Airflow, Docker, Kubernetes, feature stores, experiment design, ML observability, graph features\nCertifications: AWS Machine Learning Specialty (2023)"
  ],
  "applicationFileUrl": []
}
```

## Output

```json
{
  "reference": {
    "label": "Source"
  },
  "verdict": {
    "label": "Verdict"
  },
  "score": {
    "label": "Score"
  },
  "confidence": {
    "label": "Confidence"
  },
  "jobMatch": {
    "label": "Job Match"
  },
  "summary": {
    "label": "Summary"
  },
  "riskSignals": {
    "label": "Risk Signals"
  },
  "nextSteps": {
    "label": "Next Steps"
  }
}
```

## About this Actor

This example demonstrates how to use [Applicant Authenticity Analyzer](https://apify.com/parseforge/applicant-authenticity-analyzer) with a specific input configuration. Visit the [Actor detail page](https://apify.com/parseforge/applicant-authenticity-analyzer) to learn more, explore other use cases, and run it yourself.