# ===================================================================
# MODULE 10, LESSON 5: BUILDING A SUSTAINABLE CAREER
# ===================================================================

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import datetime, timedelta
import warnings
warnings.filterwarnings('ignore')

print("="*70)
print("BUILDING A SUSTAINABLE CAREER IN FINANCIAL DATA SCIENCE")
print("="*70)

# ----------------------------------------------------------------
# PART A: PERSONAL MISSION STATEMENT
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART A: Personal Mission Statement")
print("-"*60)

mission_statement_template = """
--- PERSONAL MISSION STATEMENT ---

My purpose is to:
________________________________________________________________

I will achieve this by:
1. ____________________________________________________________
2. ____________________________________________________________
3. ____________________________________________________________

My core values are:
1. ____________________________________________________________
2. ____________________________________________________________
3. ____________________________________________________________

My long-term vision (10 years from now):
____________________________________________________________

My legacy will be:
____________________________________________________________
"""

print("Personal Mission Statement Template:")
print(mission_statement_template)

# Example mission statement
example_mission = """
--- EXAMPLE MISSION STATEMENT ---

My purpose is to:
"Use data and AI to make financial services more inclusive, fair, and sustainable."

I will achieve this by:
1. Building ethical, explainable AI models that serve underserved communities.
2. Mentoring the next generation of data scientists from diverse backgrounds.
3. Advocating for responsible AI policies in financial services.

My core values are:
1. Integrity – Building trustworthy, transparent AI.
2. Impact – Focusing on outcomes that matter to people.
3. Innovation – Embracing new technologies responsibly.

My long-term vision (10 years from now):
"Lead a data science team at a major financial institution, influencing industry standards for ethical AI and financial inclusion."

My legacy will be:
"Creating a more equitable financial system through responsible AI, and inspiring others to do the same."
"""

print("\nExample Mission Statement:")
print(example_mission)

# ----------------------------------------------------------------
# PART B: 10-YEAR CAREER VISION
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART B: 10-Year Career Vision")
print("-"*60)

career_vision = {
    "Year 1-2": {
        "Focus": "Build expertise and establish credibility.",
        "Goals": [
            "Master core ML and financial domain skills.",
            "Build 3-5 portfolio projects.",
            "Earn 1-2 certifications.",
            "Network actively."
        ],
        "Target Role": "Senior Data Scientist / Lead"
    },
    "Year 3-5": {
        "Focus": "Lead projects and influence strategy.",
        "Goals": [
            "Lead 3-5 projects end-to-end.",
            "Mentor 2-3 junior team members.",
            "Publish articles and speak at events.",
            "Build a professional network."
        ],
        "Target Role": "Data Science Manager / Principal"
    },
    "Year 6-8": {
        "Focus": "Drive organisational impact and thought leadership.",
        "Goals": [
            "Lead a data science team or function.",
            "Shape industry standards and policies.",
            "Publish research or a book.",
            "Build a personal brand as a thought leader."
        ],
        "Target Role": "Head of Data Science / Director"
    },
    "Year 9-10": {
        "Focus": "Shape the future of the field.",
        "Goals": [
            "Influence AI policy and regulation.",
            "Mentor the next generation of leaders.",
            "Expand impact beyond the organisation.",
            "Leave a lasting legacy."
        ],
        "Target Role": "Chief Data Officer / VP / Advisor"
    }
}

for period, details in career_vision.items():
    print(f"\n{period}:")
    print(f"  Focus: {details['Focus']}")
    print("  Goals:")
    for goal in details['Goals']:
        print(f"    • {goal}")
    print(f"  Target Role: {details['Target Role']}")

# ----------------------------------------------------------------
# PART C: WELL-BEING SELF-ASSESSMENT
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART C: Well-Being Self-Assessment")
print("-"*60)

wellbeing_assessment = {
    "Physical Health": {
        "Exercise (days/week)": 4,
        "Sleep (hours/night)": 7.5,
        "Nutrition (healthy meals/day)": 3,
        "Target": "Exercise 5 days/week, sleep 8 hours, healthy meals daily"
    },
    "Mental Health": {
        "Stress Level (1-10)": 6,
        "Mindfulness Practice (minutes/day)": 10,
        "Work Satisfaction (1-10)": 7,
        "Target": "Reduce stress to 4, meditate 20 min/day, improve satisfaction"
    },
    "Work-Life Balance": {
        "Work Hours/Week": 45,
        "Weekend Work (hours)": 2,
        "Time with Family/Friends (hours/week)": 15,
        "Target": "Work 40 hours, no weekend work, 20 hours with loved ones"
    },
    "Professional Growth": {
        "Learning Hours/Week": 5,
        "Networking Events/Month": 2,
        "New Skills/Year": 3,
        "Target": "10 learning hours/week, 4 events/month, 5 new skills/year"
    }
}

print("Well-Being Self-Assessment:")
for area, metrics in wellbeing_assessment.items():
    print(f"\n{area}:")
    for metric, value in metrics.items():
        if metric != 'Target':
            print(f"  {metric}: {value}")
    print(f"  Target: {metrics['Target']}")

# ----------------------------------------------------------------
# PART D: RESILIENCE BUILDING PLAN
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART D: Resilience Building Plan")
print("-"*60)

resilience_plan = {
    "Emotional Regulation": {
        "Practices": [
            "Daily meditation (10 minutes).",
            "Journaling (weekly reflections).",
            "Therapy or coaching (monthly)."
        ],
        "Frequency": "Daily/Weekly/Monthly"
    },
    "Cognitive Flexibility": {
        "Practices": [
            "Read diverse perspectives (non-fiction, articles).",
            "Challenge one assumption daily.",
            "Seek feedback from others."
        ],
        "Frequency": "Daily"
    },
    "Social Support": {
        "Practices": [
            "Connect with mentors (monthly).",
            "Participate in peer groups (weekly).",
            "Spend time with family and friends (daily)."
        ],
        "Frequency": "Daily/Monthly"
    },
    "Physical Health": {
        "Practices": [
            "Exercise (4-5 days/week).",
            "Healthy eating (meal prep).",
            "Adequate sleep (8 hours/night)."
        ],
        "Frequency": "Daily"
    },
    "Meaning": {
        "Practices": [
            "Reflect on purpose (weekly).",
            "Volunteer or give back (monthly).",
            "Connect work to impact (daily)."
        ],
        "Frequency": "Daily/Weekly/Monthly"
    }
}

print("Resilience Building Plan:")
for component, details in resilience_plan.items():
    print(f"\n{component}:")
    print(f"  Frequency: {details['Frequency']}")
    for practice in details['Practices']:
        print(f"    • {practice}")

# ----------------------------------------------------------------
# PART E: CAREER TRANSITION CHECKLIST
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART E: Career Transition Checklist")
print("-"*60)

transition_checklist = pd.DataFrame({
    'Step': [
        'Self-Assessment',
        'Research Opportunities',
        'Skill Development',
        'Networking',
        'Application Preparation',
        'Interview Preparation',
        'Offer Evaluation',
        'Transition',
        'Onboarding'
    ],
    'Completed': ['✅', '🟡', '🟡', '🟡', '❌', '❌', '❌', '❌', '❌'],
    'Details': [
        'Identified strengths, values, and goals.',
        'Researched 5 target roles/companies.',
        'Completed 2 courses; built 1 project.',
        'Connected with 20 people in target field.',
        'CV and LinkedIn updated; portfolio ready.',
        'Practiced 10 interview questions.',
        'Evaluated offers based on growth and fit.',
        'Notified current employer; transition plan.',
        'Attended onboarding sessions; built relationships.'
    ]
})

print("Career Transition Checklist:")
print(transition_checklist.to_string(index=False))

# ----------------------------------------------------------------
# PART F: FINANCIAL INDEPENDENCE PLANNING
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART F: Financial Independence Planning")
print("-"*60)

financial_plan = {
    "Income Sources": [
        "Salary (primary)",
        "Investments (stocks, ETFs)",
        "Side projects / consulting",
        "Book / course royalties"
    ],
    "Expenses": {
        "Housing": 30,
        "Transportation": 10,
        "Food": 15,
        "Insurance": 8,
        "Savings/Investments": 20,
        "Health/Wellness": 5,
        "Learning/Development": 5,
        "Other": 7
    },
    "Savings Goals": {
        "Emergency Fund": "6 months of expenses",
        "Retirement": "25x annual expenses",
        "Investment Portfolio": "$1M by age 40",
        "Career Break Fund": "1 year of expenses"
    },
    "Investment Strategy": {
        "Risk Tolerance": "Moderate-high",
        "Asset Allocation": "70% equities, 20% bonds, 10% alternatives",
        "Philosophy": "Diversified, low-cost index funds, long-term"
    }
}

print("Financial Independence Plan:")
print(f"\nIncome Sources:")
for source in financial_plan['Income Sources']:
    print(f"  • {source}")

print("\nExpense Allocation (%):")
for category, percentage in financial_plan['Expenses'].items():
    print(f"  {category}: {percentage}%")

print("\nSavings Goals:")
for goal, target in financial_plan['Savings Goals'].items():
    print(f"  {goal}: {target}")

print("\nInvestment Strategy:")
for key, value in financial_plan['Investment Strategy'].items():
    print(f"  {key}: {value}")

# ----------------------------------------------------------------
# PART G: SUSTAINABLE CAREER CHECKLIST
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART G: Sustainable Career Checklist")
print("-"*60)

sustainable_career = [
    "✅ Define my personal mission statement.",
    "✅ Create a 10-year career vision.",
    "✅ Assess my well-being and identify areas for improvement.",
    "✅ Build a resilience plan.",
    "✅ Develop financial independence goals.",
    "✅ Maintain a work-life balance.",
    "✅ Cultivate a growth mindset.",
    "✅ Build and maintain a strong network.",
    "✅ Continuously learn and adapt.",
    "✅ Give back to the community.",
    "✅ Celebrate successes and learn from failures.",
    "✅ Prioritise health and well-being."
]

print("Sustainable Career Checklist:")
for item in sustainable_career:
    print(item)

# ----------------------------------------------------------------
# PART H: SUMMARY AND RECOMMENDATIONS
# ----------------------------------------------------------------

print("\n" + "="*70)
print("PART H: Summary and Recommendations")
print("="*70)

print("""
Building a Sustainable Career – Key Takeaways:

1. A sustainable career balances purpose, growth, connection, and well-being.
2. Define your personal mission and 10-year vision.
3. Navigate career transitions with preparation and resilience.
4. Build resilience through emotional regulation, cognitive flexibility, social support, and physical health.
5. Prioritise work-life balance to prevent burnout.
6. Plan for financial independence and career longevity.
7. Maintain a growth mindset and continuously learn.
8. Give back to the community and build a lasting legacy.

Recommendations:
  - Write and refine your personal mission statement.
  - Create a 10-year career vision with milestones.
  - Conduct a well-being self-assessment and create an improvement plan.
  - Build a resilience plan for handling setbacks.
  - Develop a financial plan for career freedom.
  - Schedule regular time for reflection and renewal.
  - Celebrate your achievements and learn from challenges.
""")

print("="*70)
print("END OF LESSON 5 – MODULE 10")
print("="*70)