Stop Overthinking and Land a Job in 2025.

What’s really holding you back from landing your first job in Data & AI?

If you don’t know the answer to this question, don’t worry, you are not alone.

80% of job seekers feel overwhelmed and stuck for no good reason.

Over the past few years, I’ve worked with countless individuals who’ve successfully transitioned into data-related roles, and I’ve also seen many who struggled.

As I learned more about the challenges others face, I realized there are some key misconceptions that need to be addressed.

90% of people either:

• Believe they need to master every technical skill before even applying for a data-related role.

• Fear they’ll never be "technical enough" to compete with others in the field, so they don’t even try.

Or:

• They dive into learning data skills but do so without a clear plan.

• Apply to 100s of jobs with no success and no clear strategy.

• Waste time and money on courses or tools that don’t align with their goals.

• Face rejection or burnout, and decide that transitioning into data isn’t for them - it’s "too hard" or "not the right time."

As a result, they get stuck in analysis paralysis, waiting for the "perfect moment" to start their journey into data.

Through years of experience and helping others navigate this transition, I’ve come to understand how every piece of the puzzle should fit together.

I’ve seen people with no prior technical background land data roles within months.
At the same time, I’ve seen others spend years learning without ever feeling ready to take the leap.

What’s the difference?

Candidates who land jobs have a strategic and focused approach to gaining the right skills and applying to the right jobs. 

You need to stop thinking: “I have to spend years learning everything about Python, SQL, and ML before I can even think about applying for a job”.

If you want to grow as an expert, you need to think and act strategically

But how? 

Here is what successful applicants do, before they apply for jobs:

• They choose 1-2 industries (e.g., fraud detection in banking, computer vision in self-driving cars, etc)

• They select specific problems and teams they want to work with. (e. g., startups vs big companies, customer-facing vs internal tasks, etc)

• Only then, do they focus on identifying the key skills and experiences that will make them stand out.

If you want to learn more about How to build the right skills and experiences for every role in Data, join today’s event:

But if you are ready to take your career seriously, then join our PRO community, with:

• Access to Private Workshops (resume and portfolio building, technical interview prep, etc)

• 600+ Python & SQL interview coding questions from top tech companies and access to Interview Query’s platform.

• Access to a Network of Data & AI professionals from all industries.

• Private live events with Senior Data Science, and Machine Learning Experts from Big Tech.

• Accountability calls and Daily Focus Sessions.

  
  
  Check out our membership tiers - here!
  
  📣 ATTENTION!

  If you join before December 14th, 23:59 pm PT, you will get a $200-Value Coaching Call for Free!

  
  During this call, we will discuss your current job search needs and create your unique Strategy Roadmap.

  
  ⏰ Hurry and join today before it’s too late!