Aldo Mendoza

I've built production pricing systems at TV Azteca Digital and forecasting tools for HSBC trading operations. At TV Azteca, I developed a seven-engine programmatic ad-pricing system across $24.3M in revenue and shipped $327K in floor-calibration patches.

I use stochastic control, mechanism design, causal inference, and machine learning to make pricing decisions measurable and auditable. My work includes Myerson reserve pricing, HJB dynamic floor control, censoring-aware causal measurement, BERT-based pricing classification, and near-real-time time-series forecasting for London and Hong Kong trading desks.

My actuarial science thesis derived and validated optimal portfolio-control policies under Vasicek interest rates, backed by reproducible Python research, Monte Carlo testing, and honest out-of-sample reporting. I care about method before hype and report what the data supports—not what sells.