Everyone says 'portfolio projects get you hired'.

But what does that actually look like?

Check out this Data Analyst Success Story & their Customer Analytics Project:

Data Science interviews cover WAY more than just SQL.

You can expect technical questions on:
•Probability & Statistics
•Machine Learning
•Coding (Data Structures & Pandas)
•Product-Sense
•A/B Testing

To help you prep, I made a FREE 9-day Data Interview Crash Course👇

Sent a cold email, but got no response??
DO THIS 👇

This Bathroom Renovation Hits Different If You Code

Average resumes list out tech skills & work experience.

But the BEST resumes go further and are hyper-customized to each job.

For example, for a Product Data Science role at Meta:
•I’d highlight my SQL EDA skills over my Python ML experience
•I’d mention my A/B testing work

Exit Interview: 'I left because you didn't pay me more – my raise isn't keeping up with inflation.'

HR to CEO: 'To boost employee retention, we've scheduled an extra pizza party per year!!'

It's so SAD that the #1 most-asked interview question is the same one I see sooooo many people answer poorly.

Most people wing their answer, and don't realize there are levels to this game!

Just crossed 1,000 reviews on Amazon!

Thanks everyone for the support!

If you haven't gotten your copy of the book yet, go here: amzn.to/3kF79Fx

What's cold email networking?

How'd it get me interviews at Airbnb & Snapchat?

AND WHY IS IT NOT SPAM?

Watch the video!

p.s. if you reply 'Cold Email' + RT this Tweet + follow me (Nick Singh | The Data Science Guy 📕)

I'll send you a 6-minute video on the 6 cold email rules you can't break!

At 27, my net worth is $5m. Here’s how I got there:

• Saved $100k from my tech job over 3 years
• Made $200k from my book / DataLemur
• Turned $50k into $250k via crypto investing
• Received a $4.5m trust from my parents at age 18

Follow me for more personal finance advice

For every company that gave me a job offer, ~14 rejected me at some stage of the application process.

Landing a job in tech is a total grind, but also totally worth it.

ooops....

A while back, I gave a talk at Harvard about breaking into Data Science and discovered a surprising mental trap.

If you went to a state school, tier-3 college, or community college, YOU NEED TO WATCH THIS so you don't fall into it the same trap as the Harvard students!

A while back, I gave a talk at Harvard about breaking into Data Science and discovered a surprising mental trap.

If you went to a state school, tier-3 college, or community college, YOU NEED TO WATCH THIS so you don't fall into it the same trap as the Harvard students!

Everything is a database if you are brave enough

In Software Engineering doing less is often doing more.

Before building that internal tool, ask:

“Is there existing software we could use instead?”

Before the team tries to adopt a shiny new tool, ask:

“Can we get similar results with the tech stack we already know?”

Interviewer: 'Do you have any questions for us'

'You answered everything, thank you!'

❌ WRONG ANSWER ❌

Instead, do this this:

Using your product & company research ask specific, and well-researched questions, that demonstrate your passion for the role & business ✅

STOP UNDERESTIMATING BEHAVIORAL INTERVIEWS

Techies get so busy preparing for Coding & SQL interview questions and then shoot themself in the foot by underestimating the behavioral interview.

Here's 3 reasons why behavioral interviews are so damn important 🧵