In this episode of Tech Laughs & Bytes, we dive deep into the intelligence behind predictive analytics and data science— the invisible engines powering today’s smart systems.

I sat down with Mark Eltsefon, a seasoned Data Scientist at Meta with over two decades of experience across multiple industries, to uncover how data doesn’t just inform decisions — it predicts the future.

From exploratory data analysis and hypothesis testing to hyperparameter tuning and the rapid evolution of large language models (LLMs), we explore how algorithms “learn,” adapt, and continuously improve.

Mark also unpacks the fascinating world of recommendation systems and segmentation models — the same technologies behind:

• 🎯 Personalized ads that seem to “read your mind,” suggesting a product right after you’ve shown interest.

• 💌 Smart newsletter suggestions that tailor content to your interests, ensuring every email feels handpicked for you.

• 🔄 Subscription offers that use segmentation to identify when users are most likely to convert, whether it’s your next music plan or streaming upgrade.

But beyond the algorithms, Mark shares the human side of working with machine intelligence, the balance between creativity, ethics, and curiosity that keeps innovation alive.

If you’ve ever wondered how machines “think” or what makes data truly intelligent, this episode will reshape how you view the future of innovation.

Tune in for insights, laughs, and byte-sized brilliance — only on Tech Laughs & Bytes.