I am a python Developer having experience of 7.3 years. In this span I have worked as a Data Engineer with Geospatial data, RestFul API Developer, Away API gateway Integration and development Engineer. Right now since last 1.6 years working as ML engineer (80% software development+ 20% Data science exposure to me, There is Data scientist team for model development). Now I want to switch but confused that should I learn Deep learning in deep and practice in my current project before switch or I should master DSA and UI (React JS) and switch as SDE or Lead position. Adding to my tech stack, I have good knowledge to work with AWS, and Azure and using python SDKs for both. Beginner/Good experience with Docker kubernetes as well.
Please suggest me so that I can make a choice to switch my company and get place in a Good org with good payment and work culture.
Thanks in advance.
I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmap...
I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmap...
Is it possible to switch from DBA to DS or ML Engineer ? How can I start with, and what can be the road map?
Hi all Currently working In Capgemini with package of 4.5lpa With 1.5+Year Of Experience
Current skills: Sql, Python(Basic) , Pyspark, Azure Data Bricks I have Certification Like az900,DP203
Want to switch by the end of the Ye...
Hi All,
I have 6 YOE. Initial 2.5 years I worked as Backend developer in Python, Django, AWS and Little bit JS. After that all of my experience is in Data Engineering mostly in GCP (have few certifications as well.) Currently I am worki...