I approach tourism as a data-rich, high-stakes system — one that deserves the same analytical rigour we apply to finance. My current research agenda focuses on predictive modelling, destination resilience, and the digital visitor economy.
Tourism is entering a new era — one shaped by digital platforms, climate volatility, and rapidly shifting visitor preferences. My work sits at the intersection of quantitative analytics and strategic tourism management, using large datasets, generalized linear models, and time-series forecasting to answer questions destinations can no longer afford to guess at.
I bring an unusual toolkit to the field: production-grade software engineering, financial accounting rigour, and reproducible statistical practice. This lets me operationalize research — turning insights into dashboards, forecasts, and decision-support tools that DMOs, ministries, and operators can actually use.
A framework combining time-series forecasting and financial simulation to model destination revenue under multiple visitor-flow scenarios. Uses Prophet, SARIMA, and GLMs on multi-year arrivals data.
Empirical analysis of destination brand perception across TripAdvisor, Instagram, and Google Reviews, correlating sentiment with arrival volumes.
A composite index measuring destination resilience to demand shocks (pandemics, climate events, geopolitical disruption), calibrated on 2015–2025 arrivals data.
Applying spatial analytics and visitor-flow modelling to quantify sustainable carrying capacity across UNESCO-tier destinations in South Asia.
My advantage is not choosing between quantitative rigour and applied engineering — it's doing both. Every study I run is versioned, reproducible, and shippable as a dashboard or API.
GLMs, mixed-effects models, structural equation modelling, and Bayesian inference in R and Python.
SARIMA, Prophet, exponential smoothing, and neural forecasting (N-BEATS, LSTM) for arrivals and revenue.
Git-versioned, containerised research pipelines with automated reporting and peer-review-ready outputs.