AI and Data Science Newsletter

The articles are published in my Linked Profile

The Strategic Imperative: Why C and C++ Remain the Bedrock of Modern Tech EducationAs a technical leader, my focus is always on long-term viability and optimizing computational cost. It's a common query from new recruits and business stakeholders: why do we still prioritize C and C++ in university curricula when modern tools like Python, Java, or JavaScript dominate the applicatio

Data Strategy Consulting: Your Competitive Edge for 2026 and BeyondIn today’s data-saturated marketplace, success rests not on how much information a company gathers—but on how effectively it converts raw data into real business value. Data strategy consulting, once considered a “nice-to-have,” has become mission-critical for organizations seeking a sustainable edg

A Data Scientist's Guide to Conquering Skewed Data 📊In the world of data science, perfect, normally distributed data is often a myth. Real-world datasets—from customer income to website traffic and financial transaction volumes—frequently exhibit a phenomenon known as skewness.

Beyond Correlation: A Starter's Guide to Causal Structure Learning with Bayesian Methods 🧠In data science, we often identify strong correlations: coffee consumption correlates with productivity, or housing size correlates with price. But correlation tells us what happens, not why.

🔍 AI-Powered Anomaly Detection in Telecom: Real-World Applications and Policy AlignmentAs telecom networks scale with 5G, IoT, and edge computing, ensuring service reliability has become a data science challenge. One of the most impactful applications of AI in this space is anomaly detection—the ability to identify and respond to network irregularities before they affect customers.

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