ElarSaks/finnish-tech-salary-predictor

Finnish Tech Salary Predictor

This model predicts salaries for tech professionals in Finland based on various features.

Model Details

• Model Type: Random Forest
• Version: v1.0.0
• Created: 2025-12-12T21:42:26.049907
• Format: ONNX

Features

The model uses the following input features:

• Experience years
• Office time percentage
• Age group
• Gender
• Company type
• Role group
• Education level
• Location (region)

Usage

import onnxruntime as ort
import numpy as np

# Load the model
session = ort.InferenceSession("salary_predictor_v1.0.0.onnx")

# Prepare input (example)
input_name = session.get_inputs()[0].name
input_data = np.array([[...]], dtype=np.float32)  # Your feature vector

# Run inference
result = session.run(None, {input_name: input_data})
predicted_salary = result[0]

Data Source

Based on the Koodiklinikka Finnish Tech Salary Survey 2024.

License

MIT License