Oaxaca-Blinder decomposition of pay gaps: Rust library, command-line tool and MCP server, checked against R
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Comp Decoder is a compensation analysis tool that translates raw offer numbers — base, bonus, equity, benefits — into a clear picture of total compensation, market positioning, and negotiation leverage.
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Compensation governance software for EU companies. Salary bands, approvals and pay equity insights.
Pay equity analysis framework using Generalized Additive Models (frequentist REML + Bayesian MCMC). Companion code for PP-RAI 2026.
On-premise SLM security framework for HR pay equity compliance. Adversarial evaluation dataset (HR-PayEquity-Adv) + MLPM / Llama Guard 3 8B pipeline. Companion code for KRiT 2026.
QLoRA fine-tuning of Llama 3.1 8B, Mistral 7B and Phi-3.5 Mini for EU pay equity compliance tasks (Directive 2023/970). Companion code for FedCSIS 2026.
Open-source pay-equity and salary-review calculation engine from Novro
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An analytical Power BI dashboard visualizing salary distributions, compensation trends, and pay equity across different job roles, departments, experience levels, and geographic locations for strategic HR decision-making.
This is a compilation of all assignments that I have completed for my graduate class on Reproducible Psychological Research.
People analytics on public HR data: attrition risk model, pay equity analysis (EU Pay Transparency Directive), Power BI workforce dashboard
Methods to measure and address pay gaps related to gender and race.
Regression-based equity audit — controlled OLS modeling with residual drilldown and budget-aware remediation scenarios (statsmodels).
Pay gap decomposition by gender and race using Oaxaca-Blinder, with bootstrap confidence intervals and remediation costing
Pay ranges of equal value by grade and country, priced on Eurostat data: who moves, what it costs and the range to publish for every role. Excel model reconciled with pandas.
What happens to a measured gender pay gap as the control set changes. ACS 2023 microdata, 299,127 workers: controlling for education widens the gap, industry and occupation return it, and 34.9% of it turns on whether occupational sorting is a legitimate control.
HRai Labs - Open source toolkit
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