[Guide] How I got a 300% pay hike switching from Accenture
Spoke to someone in Grapevine through DMs 2 months ago about increasing pay. They helped me with the following roadmap but in more detail. Got offer from two competing startups in AI.
28L-Fixed is the best offer I got. Previous CTC: 7L (Fixed) Current YOE: 1Y
Here was my strategy:
- Improved functional python knowledge via Leetcode and Codeforces.
- Learnt more about Cassandra, PostgreSQL, Redis, Django and React. Not in-depth but functional enough to build proof of concepts.
- Understanding intuitively rather rote-learning concepts like: OS, Computer Networkls, DBMS, OOPs(Read everything around them using MIT OCW).
- Data Structures and Algorithms: String Manipulation, Arrays, Linked Lists, Stacks, Queues, HashMaps, Trees, Graphs, and Heaps.
- Mock Interviews with my friends in the end.
Talking product sense with Ridhi
9 min AI interview5 questions
1 On which sites did you apply/ use for a job hunt 2 how did you tackle the 90 days notice period
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Applied via friends this time. They were much more aware of the positions available at their companies.
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I played it smart and got on bench. Then refused to take on anymore projects and asked for an early release. It was a pain but in the end they allowed it.
Can you post the full details of what skills helped you where and your own suggestions
I will create a new post on that. Comments are too short.
🎉
To which company did you switch?
Went to a Q-Commerce company. I can potentially get doxxed if I say more.
I’m in a similar situation almost a year of experience in which and I wanna switch. I’ve been upskilling in data engineering, created an etl pipeline with a streamlit visualisation page and have also used containerization tools like docker. Now looking into ways to integrate IaC into it. Any more suggestions that I can implement in or improve on?
