Backend_node/src/templates/resume5.data.json

{
  "avatar": "http://res.cloudinary.com/dkluatpz0/image/upload/v1768889203/jc4palybrshhbmsjtzpz.jpg",
  "name": "Michael Green",
  "title": "Data Scientist | ML Engineer",
  "email": "michael.ds@example.com",
  "phone": "+1-555-040-6666",
  "location": "Seattle, WA",
  "summary": "Data Scientist with strong foundations in machine learning, statistical modeling, and data engineering. Experienced in deploying production-grade ML models and deriving actionable insights from complex datasets.",
  "skills": ["Python", "TensorFlow", "Scikit-Learn", "PySpark", "SQL", "Pandas", "Computer Vision", "NLP"],
  "soft_skills": ["Analytical Thinking", "Collaboration", "Decision Making", "Data Storytelling"],
  "languages": ["English", "Mandarin"],
  "education": [
    {
      "degree": "MS in Data Science",
      "institute": "University of Washington",
      "year": "2018 - 2020"
    }
  ],
  "experience": [
    {
      "role": "Lead Data Scientist",
      "company": "Insights AI",
      "duration": "2020 - Present",
      "description": "Developed an ensemble ML model for customer churn prediction, reducing churn by 20% and saving approximately $2M annually."
    }
  ],
  "projects": [
    {
      "title": "Predictive Maintenance System",
      "description": "Built a real-time IoT monitoring and predictive maintenance pipeline using Azure ML and Kafka.",
      "tech_stack": ["Python", "Azure", "Kafka", "PyTorch"]
    }
  ],
  "certifications": [
    "Google Professional Data Engineer",
    "DeepLearning.AI TensorFlow Developer"
  ],
  "achievements": [
    "Kaggle Grandmaster",
    "Top Data Scientist of the Quarter - Q3 2023"
  ],
  "someImportantUrls": {
    "Kaggle": "https://kaggle.com/mgreen",
    "GitHub": "https://github.com/mgreen-ds"
  }
}