Creating a CV is your second step in securing a job, right after honing your own skills and achievements.
In this post, I'll share my own CV, which has helped me land multiple offers from FAANG companies and beyond.
Personal info
Keep this section concise. Include your full name and essential links: your email and LinkedIn are must-haves.
You can also add your GitHub or blog, but avoid including anything unnecessary.
Summary
This should be a brief overview of who you are, highlighting your main strengths and passions. Avoid listing projects here; focus on your personal attributes.
Even if a hiring manager skips the rest of your CV, they should still understand who you are and whether you're a good fit for the role.
Skills
There are many ways to showcase your core skills, but keep these two points in mind: :
Avoid using ratings : SQL - 10 out of 10 , Python - 9 out of 10, etc.
Don't list every skill you can think of. It's unlikely you have a reasonable level of proficiency in SQL, Python, R, Julia, Java, C, C++, and JavaScript all at once.
Tailor your skills to the desired position, especially if specific skills are required.
Experience
Here's an example from my time at Jam City. Notice the following:
The outcomes are quantified and they are business-oriented.
Specific models aren't mentioned; these can be discussed during an interview. Your CV should demonstrate your ability to deliver value with data science.
It's pretty brief; don't make any of your experience sections longer than this.
Education
Simply list your university, level of education, specialty, and dates. Nothing more, nothing less.
CVs are one of the most hyped topics in the job search. But don’t invest too much time here.
It's not easy to create a CV that will always pass through the initial stages, but it's also not too hard.
Just follow the steps and don’t overcomplicate it.
That last part is good to remember. Don’t overcomplicate it!
Hi Mark
Awesome posts!! Can you please share some of your job hunt preparation resources for product analytics