🧠 Career Intelligence Engine

Career Intelligence Engine is a Python + Streamlit decision system that ingests real job postings, scores opportunity fit, classifies hiring intent, identifies wrong-hire risk, and generates role-specific positioning strategy.

Built to replace blind job applications with structured opportunity intelligence.

Find the roles you are most likely to win — and understand exactly why.

Career Intelligence Engine is a decision system that analyzes job opportunities, predicts hiring intent, and generates positioning strategy.

It doesn’t just answer:

“Do I qualify?”

It answers:

“What problem is this company trying to solve—and how do I position myself as the solution?”

---

📊 Product Preview

---

🚀 Start Here (Run in 60 seconds)

pip install -r requirements.txt

python run_pipeline.py --greenhouse stripe

streamlit run app/streamlit_app.py

👉 Then open: http://localhost:8501

---

⚡ Core Value

Traditional Job Search	Career Intelligence Engine
Keyword matching	Business-problem matching
Guessing fit	Weighted opportunity scoring
Generic applications	Role-specific positioning
Spray-and-pray	Strategic targeting
Resume-first thinking	Problem-first thinking

---

🧬 What the System Does

• Ingests real job postings (Greenhouse API)
• Extracts structured signals (skills, tools, keywords)
• Scores alignment across weighted dimensions
• Classifies Hiring Intent (why the role exists)
• Identifies Operator Type (who they actually need)
• Flags Wrong-Hire Risk
• Generates Positioning Strategy

---

🎯 Example Insight

Finance & Strategy – Finance Analytics Analyst @ Stripe

• Hiring Intent: Decision-support analytics
• Operator Type: Analytical translator
• Wrong-Hire Risk: Hiring someone who can build reports but cannot explain what the numbers mean for business action

Positioning Strategy:

Position as a low-ramp operator who translates data into business decisions.

---

🧠 Why This Matters

Most candidates:

• apply blindly
• rely on keyword matching
• fail to understand company context

Career Intelligence Engine:

• surfaces real business needs
• translates them into actionable positioning
• increases probability of conversion

---

🏗️ System Architecture

ingest → parse → enrich → score → classify job DNA → rank → dashboard

---

🛠️ Tech Stack

• Python
• Pandas
• Requests
• Streamlit
• JSON pipelines
• Rule-based signal extraction
• Weighted scoring engine

---

📁 Project Structure

📁 Project Structure

career_intelligence_engine/
│
├── assets/                # Screenshots for README
├── app/                   # Streamlit UI
├── data/                  # Raw + enriched job data (ignored in git)
├── prompts/               # Prompt templates
├── src/
│   ├── ingest.py
│   ├── parser.py
│   ├── scorer.py
│   ├── job_dna.py
│   ├── positioning.py
│   ├── exporter.py
│   └── utils.py
│
├── run_pipeline.py        # Main execution entrypoint
├── requirements.txt
└── README.md

📊 What the Dashboard Shows

• Ranked job opportunities by fit score
• Hiring intent classification
• Operator type breakdown
• Wrong-hire risk signals
• Positioning strategy per role
• Filterable views for targeted analysis

---

🔮 Roadmap

• Multi-source ingestion (Lever, Ashby, APIs)
• Machine learning-based hiring probability model
• Resume-to-role alignment scoring
• Automated cover letter generation
• Hosted live demo

---

🧠 Philosophy

This is not a job search tool.

It is a decision system.

Not:

“What jobs can I get?”

But:

*“Where am I most likely to win—and why?”