I created this blog to help data professionals at every stage of their journey.

🌱 New to Data/Tech?

Start with the fundamentals:

  1. Why Python Should Be Your First Language
  2. 16 Common Linux Commands for Beginners
  3. Setting Up Python Virtual Environments

Next steps: Once you’re comfortable with Python basics, move to the “Leveling Up” section.

📊 Data Scientist/Analyst Looking to Write Better Code?

You know pandas and can build models, but want to write more professional code:

  1. 5 Python Habits That Separate Junior from Mid-Level Devs
  2. Beware of the Mutants: DataFrame Mutation Pitfalls
  3. The Importance of Documentation

Next steps: Check out the “Going Pro” section for deployment and production topics.

🚀 Ready for Production ML/MLOps?

You want to deploy models and build scalable pipelines:

  1. Getting Started with AWS CDK
  2. Serializing Data 101: Apache Avro
  3. From Pandas to PySpark (coming soon!)

Next steps: Subscribe to my newsletter for advanced MLOps content and case studies (coming soon).

💼 Career Switcher or Job Hunting?

Looking for career guidance:

  1. Job Search Tips (coming soon!)
  2. My Journey: Data Analyst → MLOps → MLE (coming soon!)
  3. Conference Speaking as a Career Booster (coming soon!)

Not sure which path fits you? That’s okay! Browse by topic in the navigation menu or grab my free SWE Checklist for Data Professionals to see where you stand.