BDO x Net Impact Case Competition

1st out of 37 teams

Analyzed an open-ended business problem under time constraints and built a data-backed recommendation. Structured the approach using consulting frameworks, supported conclusions with quantitative analysis, and synthesized findings into an executive-ready deck delivered to judges.

Allocation Method Analysis

Montgomery Blair High School

Used Excel to showcase and compare cost allocation methods. Discussed their relation to corporate governance. Implemented a novel "Lattice Allocation" method (Bent, Caplan 2017) based on matrix principles of Linear Algebra. Results were within 0.1% error after only 3 operations.

Mathematical Computing Suite

Designed a lightweight mathematical computing library for symbolic-style function representation, numerical evaluation, and statistical analysis. Implemented a tree-based expression engine supporting differentiation, Taylor approximations, and probability utilities to streamline quantitative experimentation and modeling. Implemented probability utilities (PDFs, CDFs, inverse-CDF tables) using numerical integration and error-controlled approximations.

Neural Network Simulator & Visualizer

Developed an experimental neural-network framework from scratch with explicit backpropagation and graph-based visualization. Combined physics-inspired graph dynamics with gradient and stochastic optimization methods. Built multiple training strategies including gradient descent, Metropolis-Hastings random walk, and Monte-Carlo–style sampling.

Hausdorff Fractal Dimension Calculator

Independent Research Project

Designed & implemented a recursive algorithm–based simulator to generate fractals and compute Hausdorff dimensions via box-counting. Applied fractal analysis to natural features (e.g. coastlines and borders) for quantitative modeling and visualization. Achieved <0.6% error on known fractals.