Yves Mulkers

🎯 Who I Am:
I am a Data Strategist and Thought Leader in the realm of data and analytics. With a background in chemistry and operational industrial environments, I've navigated my way through various technical terrains—from the early days of Commodore 64 and database development to object-oriented programming. Today, I'm engrossed in the exciting advancements in data management, analytics, machine learning, Large Language Models and artificial intelligence.

📈 What I Do:
I specialize in helping digital marketers, particularly those working in fast-growing scale-ups, to drive business impact through data. As the Data Strategist at 7wData and host of the Data Strategy Guru's Podcast, I use my deep understanding of vendor and scale-up solutions to provide tailored advice. My holistic approach to architecture ensures that you make future-proof technology choices on your journey to becoming data-driven.

🔥 Why I'm Different:

Tech for Good Advocate: I believe in the power of technology to make the world a better place and am a vocal defender of tech for good.
Dual Proficiency: I excel at both the technical and strategic levels, offering a balanced viewpoint that few can.
Holistic View: I bring a comprehensive understanding of architecture, ensuring all pieces of your data puzzle fit together seamlessly.
Quick Learner: New tech excites me, and I quickly incorporate it into solutions for my clients.

🎙️ Content Creator:
Through my blog, 7wData, Newsletter (220k subscribers) and my podcast, I evangelize what you can do with data and how to do it. I engage in panel discussions, write articles, and amplify your company message, helping you achieve thought leadership, brand awareness, and lead generation.

🎧 Personal Interests:
In my downtime, you'll find me immersed in music or personal development and leadership books. I'm an omnivert, adapting my energy based on the people and situations around me.

🤝 Let's Connect:
If you're a digital marketer striving to make your brand data-driven and future-proof, struggling with budgets, or looking to extend your reach, let's talk. I turn Data Pains into Business Gains!

Feel free to reach out for collaborations, speaking engagements, or just a good ol' fashioned chat about the latest in data and tech.

CREATIVE THOUGHT LEADER MARKETING AND AWARENESS CAMPAIGNS for B2B Tech Brands

7wData helps vendors creatively market their products through custom-tailored content creation best suited for each particular brand. 

Services include keynotes, live support, viewership and SEO reports, analytics, and high-frequency organic amplification to niche omnichannel audiences through authenticity and establishing authority and trust.

7wData consistently delivers hard numbers so that clients receive the most accurate information and know how to best allocate their content budget.

Tatev Aslanyan

Senior Machine Learning Researcher

With a Master's degree in Econometrics, I bring 9 + years of robust international hands-on technical experience in Machine Learning, Data Science, and AI from Europe, US and Canada. High-impact global projects across Ecommerce, Recommender Systems, Search Engines, Marketing and more, with a focus on using Python, SQL, PySpark and cloud architectures like AWS. My skills extend to building and training Machine Learning and Deep Learning models in Python, complex SQL querying, cloud architecture, and econometric modelling. I am recognized for my analytical capabilities, statistical and mathematical background, and first-authored publications in top-tier US journals centered on NLP &amp; ML. An independent thinker. I thrive both autonomously and as a team player, complemented by my strong communication and collaboration abilities. Worked in Tech, as Data Scientist in ML and AI in both product-based and consultancy settings with a strong business sense, and collaborating with Tech Leads, UX designers, Senior Management, Product Managers, and Business Directors.🔍 Operate:Specialties: Machine Learning, Artificial Intelligence, NLP, Deep Learning, Advanced AnalyticsHave also Experience: Data Engineering, Product Data Science, LLMs(Bert)Innovation: Developed a recognized Data Science Bootcamp; Published first-authored papers in AI and NLP research at ACM🔗 Engage &amp; Explore:📘 Personal Portfolio: tatevaslanyan.com🚀 Data Science Bootcamp: lunartech.ai 💻 YouTube Channel: https://youtube.com/@LunarTech_ai?si=Xka8dNPM8Y2cB3S9📧 "The Data Science and AI Newsletter": https://tatevaslanyan.substack.com/💻 Github Code and Projects: https://github.com/TatevKaren✍️ Blog: medium.com/@tatevkarenaslanyan📆 Schedule a Call: tatevaslanyan.com/contact/Explore numerous Free Resources and Technical Code/Materials on my LinkedIn, Personal Website and GithubFeel free to explore the links above or drop me a message directly here on LinkedIn

Co-Founder

Co-Founder of LunarTech, and creator of LunarTechs "The Ultimate Data Science Bootcamp" ranked as one of the Best Data Science Bootcamps of 2023 [ITPro] featured on Forbes, TechTimes, and other international journals.

I created the following courses as part of LunarTech initiative:
🔘 Data Science Career Guide Course
🔘 Fundamentals to Statistics Course
🔘 Fundamentals to Machine Learning Course
🔘 A/B Testing Course
🔘 Introduction to NLP Course
🔘 Python for Data Science Course
🔘 Applied Data Science Course

Debugging is rarely “finding the bug.” It’s getting ambushed by the one condition your brain didn’t simulate.

Most issues aren’t solved by staring harder—they’re solved by shrinking the unknowns. Reproduce it, form a crisp hypothesis, then cut the search space with signals: correlation IDs in logs, traces that show the exact request path, and metrics that reveal where behavior bends.

The real superpower is turning chaos into a timeline. Feature flags to isolate, deploy bisection to pinpoint, request replay to confirm, and a before/after trace comparison to make the bug confess. 🐭

Follow LUNARTECH  and SeleneX  for Applied AI tips—and the real playbook for building production-grade AI systems.

Founder and CEO @ LunarTech | AI Engineer and Data Scientist | Seen on Forbes, Yahoo, Entrepreneur | Empowering Enterprises with Data Science and AI

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Today, on International Women’s Day 💕💕💕I am thinking about the women who had to fight twice as hard to be seen, heard, trusted, funded, promoted, and believed.

We owe so much to the women who refused to bow to systems that were never built fairly for them. To the women who kept going anyway. To the women whose anger became courage, whose courage became action, and whose action made more space for the rest of us.

“Tremendous amounts of talent are lost to our society because that talent wears a skirt.” — Shirley Chisholm. Decades later, it still feels painfully current.

I have seen it myself across Western Europe and North America. I have seen it in interviews. I have seen it in venture capital. I have seen how a woman can walk into the room with the same credentials, the same ambition, the same capability, and still be examined more harshly, doubted more quickly, and forgiven less easily.

Too often, when a woman speaks, someone looks for a flaw in her tone.
When she leads, someone calls her difficult.
When she is ambitious, someone calls her too much.
When she succeeds, someone searches for a reason to discount it.

And this bias is not abstract. In the US, women-founded startups have secured only around 2% of all VC funding over the past decade, according to PitchBook.  

So today is not only about celebration. It is also about honesty.

In 2026, whether someone wears a skirt still shapes careers, access, and opportunity far more than many are willing to admit. The barriers are often artificial, but the consequences are real.

Today, I celebrate women.
The women who came before us.
The women building now.
The women who are tired but still standing.
The women whose work is questioned more and credited less.
The women who keep creating, leading, building, and pushing forward anyway.

We owe them respect.
We owe them recognition.
And we owe them a world where talent is not filtered through bias before it is allowed to be seen.

Happy International Women’s Day to every woman who has ever had to turn injustice into fuel.

#InternationalWomensDay #IWD2026 #WomenInLeadership #WomenInTech #WomenInBusiness #FemaleFounders #VentureCapital #Equality #Leadership #Innovation

A reality check for engineering students (and early-career candidates).

Let’s think from the employer’s perspective for a moment.

You have two candidates:

#Candidate A — hasn’t even graduated yet.
Little to no experience.
Needs heavy guidance, structured training, and close mentorship.
Needs exposure to an international team and real projects to grow.
You’ll invest ~ $200K in training, scholarship, infrastructure, and leadership time.

#Candidate B — graduated, experienced, strong communicator.
Fluent English.
Can contribute immediately with minimal (or no) supervision.

Now ask yourself: if you were the employer, which one would you pay?

And yet, I increasingly see students approaching the market with this mindset:
“Pay me — and teach me — and give me everything — and I’ll take my time.”

That logic doesn’t hold in a competitive global market.
Maybe in a galaxy far away — but not in reality.

When an employer chooses to invest in a student or apprentice, it’s a risk. It’s a belief in potential. It’s long-term thinking — and a serious investment that most people won’t ever receive.

Opportunities like this should be treated with humility, appreciation, and real awareness of the shot you’re getting — especially if your goal is to become a world-class professional.

We are proud to work with many brilliant students who deeply appreciate the environment they’re in and grow into world-class professionals.

One more pattern I keep noticing:
Often, the least experienced and weakest communicators are the loudest.
The most capable people tend to be quieter, more respectful, and more focused on the long game.

The global market isn’t emotional. It’s rational.

Build skills. Build reputation. Build maturity.
The quiet builders usually win.

Follow LUNARTECH  and SeleneX for more insights on AI, data science, engineering, and future learning opportunities in these fields.

#AI
#DataScience
#EngineeringCareers
#Apprenticeship
#CareerGrowth
#TechEducation
#ArmeniaTech

We’re #hiring: UI/UX Design Apprentice (Remote | ~25 hrs/week | 6 months) at LUNARTECH.

This apprenticeship is built for career switchers, recent grads, and Bachelor’s (3rd+ year) / Master’s students who want hands-on experience designing real products across deep tech, data-driven UX, and AI-enabled interfaces—with mentorship, structured learning, and portfolio-ready work.
If you’re applying, please read the role details carefully. The process is competitive and includes a mandatory design assignment and interview rounds.
👉 Apply via this posting, and please also check our Careers page for additional open roles: [https://lnkd.in/dK8BBP6J]

#hiring #LunarTech #UIUX #ProductDesign #Apprenticeship #RemoteWork

We’re opening a DevOps Engineer Apprenticeship (Remote | 6 months ) at LUNARTECH — designed for recent grads / Master’s students / career switchers who want real DevOps experience on AI/ML systems (LLMs, AI agents, GenAI pipelines).

This is not a “watch-and-learn” internship. You’ll be:
- working on real production workflows (CI/CD, IaC, Linux, containers)
- mentored by an international team across 4 continents
- contributing to products like video translation, document/handbook translation, and education and healthcare-related AI

Expectations (clear & upfront):
✅ Unpaid, learning-first apprenticeship
✅ Practical technical assignment required
✅ ~25 hours/month (flexible) + mandatory mentorship/presentation sessions
✅ Signing MoU + NDA before starting

If you’re serious about becoming a DevOps engineer in the AI era, comment “DEVOPS” or DM me your CV + LinkedIn + GitHub.

#LUNARTECH #DevOps #Apprenticeship #MLOps #AIEngineering #LLM #GenerativeAI #CloudComputing #Docker #Kubernetes #Linux #InfrastructureAsCode #CICD #CareerSwitch #Yerevan #RemoteWork

AI agent conversations usually start with excitement — and then reality shows up.

Because building agents in an organization isn’t just “pick a model and prompt it.”It quickly turns into workflow design, tool wiring, data access, deployment decisions, and governance — often before teams can even test whether the agent delivers value.

What’s interesting about @Airia’s Natural Language Agent Builder is that it shifts the starting point.

Instead of beginning with configuration, you begin with intent: describe the outcome you want in plain language, and the platform structures the agent workflow automatically — including orchestration — on a visual canvas you can inspect and refine.

But what makes it enterprise-ready isn’t only how agents are created.It’s how they fit into real environments:

👉 Check out more: https://tryit.cc/RWwYP

#AIAgents #EnterpriseAI #AIOrchestration #Automation #AIGovernance #AIWorkflow

We are actively #hiring! Know anyone who might be interested?

We’re #hiring a Gynecologic Oncologist 

Specialist who’s excited about how technology and AI can transform oncology to join a selective international collaboration (15+ PhDs, institutional partners, and an in-house oncology-focused development team).

If you enjoy innovation, clinical impact, and helping shape breakthrough tools that can improve oncology workflows and outcomes, we’d love to connect. 

If LinkedIn limits replies, please DM me.

Also—if you know someone who fits this profile and loves innovation in oncology, please tag them or message me. 🙏#hiring

Call for Advisors & Partners: AI in Gynecologic Oncology (Ovarian Cancer

Everyone wants the “best AI tool.”
Most people need a better workflow. 🧠

This pyramid is accurate in one way: AI is becoming specialized—coding, research, writing, design, ops. But the real shift is deeper: AI is turning into infrastructure, not a single app.

Developers already moved on. Stack Overflow’s 2025 survey shows 84% are using or planning to use AI tools, and ChatGPT (82%) + GitHub Copilot (68%) lead usage. 

Now the market is trying to standardize the “glue.” OpenAI, Anthropic, and Block just helped launch the Agentic AI Foundation under the Linux Foundation—donating pieces like MCP and AGENTS.md so agents can connect to tools/data more cleanly across ecosystems. 

Here’s the sober part: Gartner predicts 40%+ of agentic AI projects will be canceled by 2027 (cost, unclear value, weak risk controls). 

So pick tools like an operator:
- fewer tools, tighter loops
- clear inputs/outputs
- evaluation and guardrails
- measure ROI like a product 📌

Don’t forget to follow LunarTech on social media for more AI & data science. 🤝

And if you want to switch careers (or level up fast): #LunarTechAcademy helps you become job-ready in AI + Data Science—with formal certifications in Data Science, AI Engineering, and AI for Executives.

We are continuing to accept applications for UX/UI designers  at LUNARTECH

#hiring #europe #uxui

Call for Advisors & Partners: #AI in Gynecologic #Oncology (Ovarian Cancer)

We are building an international collaboration at the intersection of artificial intelligence and gynecologic oncology, with a specific focus on ovarian cancer. Our goal is to work with clinical and research leaders to shape next-generation, responsible technology that supports oncology care and innovation. #lunartech #selenex

Call for Advisors & Partners: AI in Oncology - Gynecologic

We are continuing to accept applications for #UXDesignerRole

#hiring #LunarTech

We’re building an international collaboration at the intersection of AI and Gynecologic Oncology, with a focused mission: accelerate better outcomes in ovarian cancer.

We’re currently welcoming:
- Gynecologic Oncologists / Ovarian cancer specialists (5+ years)
- Clinical departments, and research institutions open to innovation partnerships
- (Individual advisors are welcome too.)

What this involves (high level):
- Clinical input on diagnostics + care pathways
- Collaboration with an AI/engineering team on responsible, clinically aligned tools

Potential long-term partnership across development, validation, and translation (funding-dependent)

To make sure expectations are clear, applicants should be comfortable with:
✅ Signing an NDA and MOU
✅ A collaboration model that may start with a few hours/month
✅ Timelines that are dependent on funding milestones

#GynecologicOncology #OvarianCancer #DigitalHealth #AIinHealthcare #ClinicalResearch #HealthTech

Consultant - AI in Oncology (Gynecologic Oncologist)

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Yves Mulkers

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The Battle

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Tatev Aslanyan's LinkedIn Performance

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