From Academia to Data Analytics and Engineering - Gloria Quiceno

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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