Selected Work
A curated selection of data-driven narratives, ranging from high-frequency financial modeling to neural network architectures.
Implementing a localized stochastic volatility model for real-time asset pricing and risk assessment in high-frequency trading environments.
Deconstructing black-box algorithms through Layer-wise Relevance Propagation to ensure ethical data practices.
Processing 2M+ data points from social APIs to map regional sentiment shifts regarding sustainable tech.
Graph-based analysis of global logistics to identify and mitigate bottleneck risks in tier-2 manufacturing.
Reducing customer attrition by 14% through an ensemble XGBoost model integrated into SaaS workflows.
Featured Case Study
Decoding supply chain disruptions through high-frequency logistics data and Bayesian structural time-series modeling.
01 / The Challenge
Global logistics firms were struggling with a 14% variance in arrival time predictions, leading to millions in annual port fees. The primary hurdle was the "Black Swan" effect—unforeseen regional disruptions that standard linear models failed to capture.
14.2%
Prediction Variance
$2.4M
Annual Latency Cost
02 / The Data
03 / The Methodology
Automated scripts to identify and remove AIS transmission gaps greater than 4 hours.
Synthesizing 'Port Saturation' metrics by correlating vessel density with berth availability.
Applying MCMC sampling to account for uncertainty in localized weather-induced delays.
04 / The Insights
Our analysis revealed that 62% of arrival delays were not caused by oceanic conditions, but by 'Invisible Bottlenecks'—minor local labor shifts identifiable 72 hours in advance via density patterns.
05 / The Impact
By integrating the predictive Bayesian model into the fleet's dispatch system, the client achieved an 11% reduction in unplanned port dwell time within the first quarter.
Precision Boost
76% → 91%
Model accuracy increased for trans-pacific routes.
Cost Savings
$1.8M
Estimated annual savings in dynamic route optimization.
Available for consulting on specialized data architecture and advanced predictive analytics.