DataTalks.Club

From Academia to Data Analytics and Engineering - Gloria Quiceno

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We talked about: 

  • Gloria’s background
  • Working with MATLAB, R, C, Python, and SQL
  • Working at ICE
  • Job hunting after the bootcamp
  • Data engineering vs Data science
  • Using Docker
  • Keeping track of job applications, employers and questions
  • Challenges during the job search and transition
  • Concerns over data privacy
  • Challenges with salary negotiation
  • The importance of career coaching and support
  • Skills learned at Spiced
  • Retrospective on Gloria’s transition to data and advice
  • Top skills that helped Gloria get the job
  • Thoughts on cloud platforms
  • Thoughts on bootcamps and courses
  • Spiced graduation project
  • Standing out in a sea of applicants
  • The cohorts at Spiced
  • Conclusion


    • Links:

    • LinkedIn: https://www.linkedin.com/in/gloria-quiceno/
    • Github: https://github.com/gdq12


      • MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp

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