Data science, product analytics, growth insights and decision intelligence for product-led teams.

Data-backed analysis of startup success and failure: modern risk frameworks, market validation, the first-mover myth, Lean Startup evolution, and how AI changed the math.

How confidence intervals, Z-scores, and statistical significance actually work in A/B testing, with worked examples and Python code.

A plain-language explanation of A/B testing fundamentals — control groups, test groups, confidence intervals, statistical significance, and common pitfalls.

A project using APIs, spreadsheet transformation, and Tableau to turn personal trip data into an ongoing dashboard.

A continuation of the underwater monitoring research, focused on distributed sensing, mobile underwater vehicles, and protocol choices suited to constrained environments.

A research-oriented project about underwater sensing, acoustic communication constraints, and a protocol stack tailored to river monitoring.