From Academia to Data Analytics and Engineering - Gloria Quiceno DataTalks.Club

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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