Walnut Rowe Analytics LLC

NHL Player Contract Calculation

End-to-end NHL skater contract valuation pipeline integrating play-by-play, shift-level, and advanced onice data from the NHL API and Natural Stat Trick. Computed individual player impact via L2-regularized
Adjusted Plus-Minus (RAPM), translating results into Goals/Wins/Standing Points Above Replacement (GAR/WAR/SPAR). Predicted cap-hit percentages for all allowable contract terms using a hybrid KNN + ridge regression model with Mahalanobis distance-based comparables, achieving a mean absolute error of 0.64 cap percentage points on 270 real 2025–26 contracts (85.6% of predictions within 2×MAE). Results were packaged into an interactive Dash dashboard.

NHL Player Contract Calculation and Player Evaluation using Advanced Metric AnalysisDownload the full paper
A sleek, dark walnut desk with a matte finish holds an open laptop displaying a clean data dashboard with line charts, bar graphs, and KPIs in cool blues and teals. A slim black notebook and a precision metal pen rest neatly beside the laptop, with a pair of minimalist over-ear headphones folded nearby. The scene is set in a modern office with a blurred city skyline visible through a large window in the background. Soft, diffused afternoon daylight streams in, creating gentle reflections on the laptop screen and desk surface. Photographic realism, eye-level composition, and shallow depth of field keep the workspace in crisp focus while the background melts into a professional, calm atmosphere.
An overhead photographic view of a large, dark wooden table arranged with printed analytics reports, each featuring colorful bar charts, scatterplots, and forecast curves in a consistent teal and navy palette. A closed leather portfolio, a brushed-metal calculator, and a slim tablet showing a financial time series graph create visual anchors. A subtle walnut woodgrain texture dominates the scene, evoking the Walnut Rowe brand. Soft, even studio lighting eliminates harsh shadows, creating a clean, methodical feel. The composition uses balanced asymmetry, with negative space on one side of the frame for potential text overlay, conveying a meticulous, organized, and highly professional data analytics workspace.
A close-up, photographic shot of a transparent glass sphere resting on a dark walnut surface, reflecting a distorted but recognizable data dashboard made of colorful charts and numeric KPIs. Around the sphere, faintly visible on the desk, are etched or projected gridlines, trend arrows, and tiny icons symbolizing databases and cloud storage. The background is intentionally out of focus, suggesting a high-end office environment with subtle tech elements. Dramatic side lighting from a single, cool-toned source creates strong highlights on the glass and soft shadows on the wood, evoking insight, clarity, and forward-looking analytics. The mood is sophisticated and analytical, with a minimalist, almost cinematic aesthetic.
The Role of the Supreme Court in the Downfall of ReconstructionDownload the full capstone paper

The Role of the Supreme Court in the Downfall of Reconstruction

This capstone paper tracks the shifting jurisprudence of the United States Supreme Court during the Reconstruction Era period of US history. Looking at the justices’ arguments in their official decisions as well as their personal writings on each case through both a legal and political lens, this essay argues that the Supreme Court of the United States was directly responsible for the failures of early civil rights initiatives, leading to the establishment of Jim Crow laws nationwide.