Skip to main content

About me

Danai Aristeridou / Δανάη Αριστερίδου

Hi folks!

I am Danai Aristeridou!

I'm a strategic AI Product Owner with a background in data science and product management, bringing 3 years of experience in product and in total 10 years of experience in the IT sector, with exposure to small/medium companies and international corporations. I'm based in Thessaloniki, Greece.

I love working at the intersection of tech and business, helping teams turn complex ideas into real, impactful products.

I’m highly experienced in translating between technical teams and business goals, and I truly enjoy guiding projects from early ideas all the way to launch.

I'm especially passionate about creating great user experiences and using design thinking and data to solve real-world problems.

I thrive in fast-moving environments where collaboration, creativity, and smart solutions really make a difference.

💥 What I Do

Currently, I’m working as an AI Product Owner at Kaizen Gaming, leading the product vision for AI-driven CRM tools.

Key achievements/responsibilities:

  • Led AI-driven CRM/Risk/Payments product visions and roadmaps focused on customer retention and engagement.
  • Orchestrated the revamp of the withdrawal system to minimize downtimes and improve the customer experience.
  • Delivered E2E churn marketing plans, boosting retention by at least 1.7%.
  • Revamped the real-time rewarding mechanism and reduced time to next real money activity by 77%.
  • Delivered bonus abuse detection mechanisms reducing PnL cost per fraudster by over 53%.
  • Led operational efficiency initiatives improving team time usage by over 80%.
  • Collaborated with engineering, data science, and operational teams. Fostered strong stakeholder relationships. Guided and mentored product analysts.
  • Drove A/B testing experiments and opportunity assessments.
  • Established KPIs and reporting frameworks and led design thinking workshops.

Previously, I worked at Pfizer’s CDI, first as a Data Science Sr. Associate and later as a Data Science Manager, where I:

  • Promoted 2 times (Associate -> Sr. Associate -> Manager)
  • Transitioned into AI-focused product management responsibilities.
  • Collaborated with clinical directors by translating complex data into product insights.
  • Managed and mentored an AI team.
  • Led the end-to-end development of the Patient Journey Analytics Suite, from product discovery to launch, driving strong scientific outcomes in patient adherence.
  • Designed and implemented products to identify high-risk Atrial Fibrillation patients early, facilitating proactive interventions via national healthcare system integration.
  • Developed GenAI tools to facilitate the hiring process
 👉 You can find more about my journey here my CV

🎓 My Academic Journey

  • MBA in Business Administration – Hellenic Open University (2024)
  • MSc in Internet & WWW – Aristotle University of Thessaloniki (2018)
  • BSc in Applied Informatics – University of Macedonia (2016)

💡 What I Bring to the Table

  • Love for data, design thinking, and lean product development
  • Balance of technical + strategic skills (Python, SQL, roadmaps, experimentation)
  • Certified in CSPO, PSPO I & II, Lean Six Sigma
  • A curious mindset and strong execution ability

🧶 A Few Things I Love

  • Traveling and experiencing new cultures
  • Sailing ⛵ – my new passion
  • Yoga
  • Pottery
  • Knitting (even if I rarely finish my projects 😄)

📖 My Publications

👉 Check them out here

🔗 Let's Connect

If you’re into data, product thinking, or just want to say hi — I’d love to hear from you.

📧 Email: aristeridoudanai@gmail.com

Comments

Post a Comment

Popular posts from this blog

Bridging the Gap: Guiding Stakeholders into the Age of AI

Bridging the gap: Guiding stakeholders into the age of AI Transitioning to the AI era isn’t always easy—especially in more traditional, old-fashioned industries. People are often reluctant to change or may believe that “if something works, why bother fixing it?” But the product lifecycle tells another story. At some point, every product will need a drastic revamp, a re-introduction to the market, or a complete phase-out. Let me walk you through my journey, and then we’ll dive into the practical aspects—which are, honestly, much more interesting! Who Am I?  👋 Hi folks! I'm Danai Aristeridou—a Product girl who landed (somewhat organically) in AI product management from a data science (DS) background. I still remember my early days in a hands-on DS role. Stakeholders struggled to understand what we were doing. There was a lack of trust and a need for control. We had to educate them, build understanding step-by-step, and iteratively move toward our goals. It wasn’t always smooth, but...
1 comment
Read more

Welcome to my blog

Hi folks! I am Danai Aristeridou! I’m a strategic AI Product Owner based in Thessaloniki, Greece, with a background in data science and product management. I have 3 years of experience in product and in total 10 years of experience in IT sector , being exposed in small/medium companies and international corporations. I’m passionate about building smart, user-focused products that solve real-world problems. I love working at the intersection of tech and business — turning complex challenges into impactful, easy-to-use solutions. I created this blog to share ideas, insights, and lessons from my journey in AI and product development. Let’s connect and grow together. 😊 👉Here you can view my detailed CV
Post a Comment
Read more

No Idea What to Build Next? Let Customer Complaints Talk

Feeling stuck? Not sure what you should work on next? Is it time to build your product roadmap, but you only have a few eggs in one basket? Ok, I got you. We are product people, and our job is simple (but not easy): solve customer problems . The real question is—how do you reliably identify those problems? There’s one place you should always start. Customer Support.🙌 They know your customers better than anyone else. They talk to them every single day. They hear the frustrations, the confusion, the anger, and the unmet expectations. Go sit with them. Talk to them. And most importantly, get access to their support tickets or complaints database. That’s the Holy Grail .💥 There’s nothing more valuable than a well-maintained complaints database. From Manual Pain to AI Superpower Back in the day—before large language models were widely available—you had to manually go through this data. Teams relied on N...
Post a Comment
Read more