The Switching to Data Program

The Strategic Data Career Framework

Your Complete 8-Week AI-Ready Transformation System

You're accomplished.

✅ You're smart.

✅ You have years of valuable experience.

✅You know you're qualified.

✅ You've done the courses.

✅ Maybe even built some projects.

But when it comes to transitioning to data careers in the AI era, you're hitting the same walls as everyone else:

❌ Applying to dozens of roles and hearing nothing back
❌ Wondering if your background actually matters in in the AI-driven data landscape
❌ Feeling like you're too old/late to start over

❌ Feeling overwhelmed by rapid AI changes and uncertain which skills really matter
❌ Getting lost in the sea of conflicting advice online

Here's what I discovered after helping dozens of professionals just like you:

Your technical background combined with AI literacy is your advantage, not your obstacle.

But only when you know how to position it strategically.

During my own career transition from research scientist with a PhD in Physics to the data industry, I experienced every single one of these frustrations.

The random applications, the self-doubt, the months of confusion about which direction to take.

After finally figuring out the process and successfully transitioning, I created the framework that has now helped dozens of accomplished professionals apply it to their own career transitions.

I realized that most career switchers waste months applying randomly instead of strategically positioning themselves for the AI-driven data landscape.

The problem isn't your skills. It's your complete lack of strategy.

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The Problem with "Apply Everywhere and Hope"

Applying randomly

Data Scientist, Data Analyst, Business Intelligence roles without understanding which ones actually match their strengths

Downplaying their experience

Thinking their 10+ years in their field is somehow irrelevant to data careers

Wasting months on wrong priorities

Learning tools they don't need while ignoring strategic positioning

Imposter syndrome

"I'm not technical enough" despite having analytical skills that surpass many data professionals

The result?

Smart, capable professionals spinning their wheels for 6-12 months, getting discouraged, and questioning whether they're "cut out" for data careers.

You are cut out for this. You just need the right strategy

The Strategic Data Career Framework

After successfully transitioning myself and guiding dozens of professionals through their pivots, I developed a systematic approach that transforms how accomplished professionals transition to data careers.

This isn't generic career advice. This is a strategic framework built by someone who:

🔬 Understands the technical landscape - PhD in Physics, published researcher, entrepreneur that built NLP sentiment analysis tools


📊 Knows what hiring managers actually want - Experience data libraries, data analysis, and the real-world tools used in data roles


🎯 Has cracked the positioning strategy - Helped professionals leverage their unique backgrounds as competitive advantages


💝 Gets the emotional journey - Been through the same confusion, doubts, and breakthrough moments

Ready to ditch the career blues and embrace a data-driven future?

Your Complete 8-Week Transformation

The Strategic Data Career Framework - 6-Step Blueprint

Step 1: Define Your Dream Role (Week 1)

  • The 4-Pillar Assessment: Technical Foundation, Business Acumen, Analytical Thinking, Communication & Collaboration

  • Strategic role matching based on your unique combination of strengths

  • Discover your most relevant transferable skills that you didn't even know you had

  • Outcome: Crystal clear target roles that align with your background and goals

Step 2: Define Missing Skills (Week 2)

  • Technical gap analysis from someone who knows the actual requirements for different data roles

  • Curated learning roadmap with the exact resources that matter (not random courses)

  • Strategic prioritization so you learn what hiring managers actually value

  • Outcome: Efficient skill development plan focused on your target roles

Step 3: Create Projects/Portfolio (Weeks 3-4)

  • Professional Notion template designed for data career success

  • Project strategy that showcases your unique value proposition

  • Technical guidance on which types of projects impress hiring managers for your specific targets

  • Outcome: Portfolio that demonstrates your data capabilities in context of your experience

Step 4: Write Resume and Cover Letter (Week 5)

  • Strategic positioning that turns your background into a competitive advantage

  • Industry language that resonates with data hiring managers

  • Technical keywords that get past ATS systems and into human hands

  • Learn the main mistakes that people make when applying for data roles (so you can avoid them)

  • Outcome: Application materials that tell your transformation story compellingly

Step 5: Apply to Specific Roles (Week 6)

  • Strategic targeting instead of random applications

  • Company research and role-specific positioning

  • The difference between applying to a big Tech company and applying to a Tech Startup

  • Application timing and follow-up strategies that work

  • Bonus: Access to leading platforms dedicated to connecting startups with top talent

  • Outcome: Focused applications to roles where you're genuinely competitive

Step 6: Prepare for Interviews (Weeks 7-8)

  • Technical interview preparation from someone who understands both sides

  • Story development that positions career change as strategic evolution

  • Learn how to present yourself and highlight your skills strategically

  • What to reply to common questions: "Why are you leaving your current role/industry?" and "What are your salary expectations?"

  • Use data and geographic location to inform your salary requirements

  • Mock interview with me - practice with real-time feedback

  • Outcome: Confidence to showcase your unique value in any data career conversation

🎯 Weekly 1:1 Personalized Sessions (8 x 60 minutes)

Personalized guidance from someone with deep technical and strategic expertise

Real-time problem-solving for your specific situation

Accountability and motivation throughout your transformation

📋 The Strategic Data Career Framework Materials

4-Pillar Assessment and role-matching system

Professional portfolio template in Notion with personalized dashboard

Resume and cover letter templates optimized for data roles

Interview preparation guides

🛠️ Technical Expertise and Industry Insights

Learning roadmaps based on actual job requirements

Project ideas tailored to your background and target roles

Industry insider knowledge about what different companies actually value

📚 Done-for-You Swipe Files, Resources, and Templates

Strategic application tracking system

Company research templates

🤝 Ongoing Support and Community

Lifetime membership to our exclusive community of successful career switchers

Access to framework updates as the industry evolves

Continued networking opportunities with fellow data professionals

🎁 Exclusive Bonuses

Access to leading platforms dedicated to connecting startups with top talent

Geographic salary data to inform your requirements

Mock interview session with personalized feedback

TOPICS COVERED

Define Your Dream Role

You will know your dream job and what you really need to focus on to get there.

Here is what you will learn in this module:

  • The available career options under the Data+AI umbrella.

  • Role-matching system using the 4-Pillar Assessment

  • How to answer the two most relevant questions: what do you want to do and why?

  • How to choose a career in Data that goes beyond the typical Data analyst, Data Scientist or working on Business intelligence.

  • What are your most relevant transferable skills?

  • How to translate your skills into keywords for the industry.

Build an Outstanding Data Portfolio

Showcase your technical skills with a portfolio and be ready to apply for Data jobs. Also, at the end of the module, you will have a personalized learning path so you know what will come next if you want to expand your Data knowledge. In this module, you will learn:

  • How to Create a Portfolio for Data roles?

  • The best options (free or with cost) to host your Portfolio and make it easily accessible for hiring managers or anyone in your network.

  • A Portfolio Template in Notion ready to add your info.

  • What specific projects to include in your Portfolio to make it stand out from the rest.

  • You will get a personalized learning path to continue expanding your knowledge in Data.

Craft the best resume

One of the last steps in your transition to Data. You will be ready to start applying to data roles and get interviews. You will learn:

  • Resume audit + the difference between a CV and a resume (for my academic fellows).

  • How craft the best resume and cover letter.

  • The different types of resumes and which one you should choose.

  • The main mistakes that people makes when applying for data roles.

  • The difference between applying to a big Tech company and applying to a Tech Startup.

  • Bonus: Learn the leading platforms dedicated to connecting startups with top talent.

Ace the interviews

This module is the last step for your transition to Data. Learn how to confidently ace the interviews. In this module, you will learn:

  • How to present yourself and how to highlight your skills.

  • Strategies and tactics for acing interviews with hiring managers.

  • What to reply to the common question, “Why are you leaving your current role/industry?”.

  • What to reply to the other common question of “What are your salary expectations?”.

  • To use data and geographic location to inform your salary requirements.

  • Bonus: A mock interview with Lina.

Also BONUS resources, including:

A personalized dashboard in Notion

A dashboard with all the training material available in Notion.

Revisit the program as much as you want

Complete the program, then revisit and review the material as much as you want.

Lifetime Access to Training

The training modules and bonus resources will be yours forever.

Curriculum template

You'll also receive a curriculum template, making it easy to fill in your personalized learning journey

Future Updates

And all the future updates to the program. I'll be adding more and more resources during the following months.

Is Switching to Data for me?

✅ Perfect for you if:

  • You have significant professional experience and want to transition strategically to data

  • You're tired of random applications and want a systematic approach

  • You value expert guidance from someone who understands both technical and strategic aspects

  • You're ready to invest in a proven framework rather than figuring it out alone

  • You want personalized attention and accountability throughout your transformation

  • You’re fascinated by the potential of data science and AI, and you’d love to apply your current background to these exciting fields.

This program is NOT for you if…

  • You’re looking for a quick fix or a magic bullet. This program requires dedication and effort, but the rewards are absolutely worth it!

  • You expect someone else to do the work for you. This is your career transformation, and you’ll be the driving force behind your success.

  • You prefer generic advice over personalized strategic guidance

  • You’re not comfortable with diversity. We celebrate our differences here!

Your Investment in Strategic Career Transformation

Complete 8-Week Transformation

✅ 8 weekly 1:1 coaching sessions (60 minutes each)
✅ Complete Strategic Data Career Framework implementation
✅ Personalized 4-Pillar Assessment and role matching
✅ Technical guidance from industry expert
✅ All templates, resources, and strategic materials
✅ Lifetime membership to exclusive community
✅ All bonuses and ongoing support

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Payment Options:

Full payment: €1,997 (best value)

Weekly installments: Split into 8 easy weekly payments of €250 per week

*Application includes brief questionnaire about your background and career goals. I personally review each application to ensure this program is the right fit for your situation.

Compare to:

Generic career coaching: €200-500/session with no technical expertise

Data bootcamp career services: €2000-5000 with one-size-fits-all approach

DIY approach: 6-12 months of trial and error with uncertain results

Wrong career choice: Years in mismatched role, lost earning potential

FAQ

Who benefits most from Switching to Data?

This is for you if you've been dreaming about a career in data for a while but haven't known where to begin. It's also perfect if you've already put in the work to upskill in data, perhaps by taking online courses or even completing a data bootcamp, but still feel stuck on the next steps.

Does the Portfolio template come with pre-built projects?

No, the portfolio template itself does not include sample projects. The template is designed to give you a structure and framework for showcasing your own projects. It provides the layout, design, and organization you need, but the content—the actual projects—is what you'll add to make it your own. This allows you to highlight the work that best demonstrates your skills and experience.

Is a Notion account required to use the portfolio template?

Yep, you'll need a Notion account to use the template. But don't worry, it's totally free and super easy to set up! Lots of big companies use Notion, so it's a great tool to learn. So, who knows, you might even use it in your future data job!

Do I need a GitHub account?

Yes, a GitHub account is necessary to fully benefit from the Switching to Data program. GitHub is crucial for showcasing your projects and expertise in a way that resonates with hiring professionals. Don't have one? No worries, I'll show you how to set up a GitHub account.

When and how can I schedule my 1:1 calls in the Do it 1:1 package?

We'll send you an email with a schedule after your purchase. You'll be able to pick a time that works for you.

What if I have more questions?

Please contact us at info [@] switchingtodata [.] com and we'll get back to you shortly.

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Switching to Data