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

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

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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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 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

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

#AI in #oncology is entering a new phase — one where technology has to be clinically robust, explainable, and ready for real-world use. 

We’re currently speaking with a small number of serious institutions that want to help shape that future. If your organization works in oncology, cancer research, or clinical innovation, the post below may be relevant.

SeleneX LUNARTECH #lunartech #oncology

AI in Oncology: Open Call for Institutional Oncology Centers and Clinical Research Partners

We are currently looking for an #Aerospace and #Engineering SME for a role that is ideal for someone with experience in this field who also wants to combine their technical background with entrepreneurship and meaningful contribution.

This is a collaborative opportunity, best suited for someone who is excited to help build, guide, and shape impactful work in this space. It is a remote opportunity for now.

If this sounds aligned with your background and interests, I’d be happy to share more details.

#hiring #Aerospace #SME

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)

Outlier

•	Training, fine-tuning, and optimizing AI models to solve complex mathematical and analytical challenges.
	•	Applying advanced mathematical theories and algorithms to enhance the performance and accuracy of machine learning models.
•	Leveraging expertise in mathematics and programming to improve automated workflows and enhance model outcomes.

AI Training Analyst

Riipen

Worked with Nonny Beer on their data centralization project, roles encompassed:

• Conducting in-depth data analysis spanning different E-Commerce platforms.

• Architecting and implementing a robust centralized relational database for efficient data aggregation.

• Developing intuitive and dynamic dashboards using cutting-edge visualization tools for comprehensive data representation.

• Thoroughly testing database and dashboards to ensure accuracy, integrity, and optimal performance.

• Developing security protocols to safeguard the centralized data repositories.

Data Engineer

Worked with Ehase Inc. on Riipen Level-Up program, roles included :

• Engaging in comprehensive exploration of existing datasets to unravel complex data structures.

• Designing and deploying customizable dashboard templates to cater to diverse business and client requirements.

• Optimizing software runtime performance through meticulous assessment and refinement strategies.

• Driving research endeavors to identify key variables augmenting dashboard efficacy and user experience.

• Iteratively testing and enhancing data visualization templates based on empirical analysis and user feedback loops.

Data Analytics and Visualization Expert

KPMG Australia

KPMG Virtual Data Analytics Consulting Internship. Responsibilities include :

  - Completed a simulation focused on advising a client on customer targeting with the Data, Analytics & Modelling team
  - Assessed data quality and completeness in preparation for analysis
  - Analysed data to target high-value customers based on demographics and attributes
  - Developed dashboards to communicate findings with visuals

Data Analyst

Zen Maker Lab

• Fabricated junior level engineering projects, allowing students to creatively explore aesthetic, technical, kinetic aspects of robotics

• Worked with project development groups of Co-op students to allow collaborative design

• Assisted in designing of a project-based learning outcome to cherish student’s ambitious ideas and equip them with the skillset to materialize them, such as : CNC machine prototype, hexapod walker bot, hydraulic powered lift etc

• Recorded detailed logbooks to track student’s progress and document their accomplishments

Engineering Projects Instructor

BANGLADESH POWER DEVELOPMENT BOARD

Ghorashal Power Station of BPDB having installed capacity of 950 MW is the biggest power station in Bangladesh.
Training on :
• Power Generation
• Powerplant Operations
• Transmission system
• Steam Turbine and Gas Turbine Powerplants 
• Powerplant Simulation 
• Risk and Safety management
Visited ongoing 7 plants and repowering of 4th plant.

Industrial Trainee

As a Data Analyst and Engineer with a passion for transforming complex data into meaningful insights that drive impactful decisions, my journey spans working with diverse data environments—ranging from e-commerce platforms to healthcare analytics. I am adept at data extraction, modeling, analysis, and visualization, with a track record of delivering innovative solutions that enhance efficiency and business outcomes.

🔍 Areas of Expertise
• Data Analysis & Business Intelligence: I leverage tools such as Python, R, SQL, Tableau, and Power BI to create data-driven narratives, streamline operations, and enable strategic decision-making through dynamic dashboards and automated reporting systems.
• Data Engineering & Cloud Solutions: My hands-on experience with platforms like Snowflake, AWS, and Azure allows me to build robust data architectures and scalable cloud solutions that meet evolving business needs.
• Healthcare Analytics: Focused on data-driven improvement projects in healthcare, I have analyzed complex data structures to evaluate chronic disease management, forecast patient outcomes, and optimize mental health services.
• E-Commerce Analytics: Conducted in-depth data analysis and created centralized data systems to support e-commerce growth, enabling tailored customer insights and operational enhancements.

📈 Professional Impact
• Enhanced operational processes through data architecture development, saving time and optimizing resources.
• Delivered comprehensive analytical solutions that helped organizations, including projects focused on healthcare efficiency, patient care, and business growth.
• Recognized for my creative problem-solving, attention to data accuracy, and translating complex findings into actionable strategies.

🔗 Let's Connect
I’m driven by a passion for collaboration and learning. If you’re interested in discussing innovative data-driven solutions, e-commerce analytics, or healthcare insights, feel free to connect!

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