Automotive aftermarket pricing analytics
A web scraping and competitive tracking tool for a furniture retailer.
Enterprise-grade decision support system for grain pricing and demand forecasting using machine learning, time-series forecasting, pricing scenario simulation, and business intelligence dashboards.
Production-style pharmacy category management analytics portfolio using SQL Server, Python, Power BI/DAX, inventory, supplier, assortment and commercial analytics.
Data analysis projects in Python — retail price elasticity with regression, seasonality controls and revenue scenarios
AI assistant built to support hotel operations and guest services
End-to-end pricing analytics pipeline modeling gross-to-net optimizations, distributor discount structures, rebate ROI, and competitor gaps with interactive dashboard.
Pricing & yield analytics on a real warehouse portfolio using SQL and pandas — rate premium, +50% growth, and repricing recommendations.
Pricing and costing decision studio for pocket margin, revenue leakage, quality controls, elasticity evidence, and Power BI/Streamlit actions across 240 products.
EU International Reference Pricing launch sequence optimizer
Price elasticity, A/B experimentation (Simpson's Paradox correction + CUPED), and margin guardrails for a UAE quick-commerce pricing decision. Synthetic data.
Which discounts raise revenue and profit, and which just give away margin: DuckDB SQL + pandas + statsmodels + Streamlit
Revenue optimization and pricing intelligence platform with elasticity analytics, profit optimization simulations, executive pricing dashboards, and strategic revenue insights.
Pricing analytics engine for a B2B SaaS business: runs an A/B price test end to end and shows why one blended margin number hides the answer. PostgreSQL, Python, Power BI - all free tier.
A synthetic neobank whose events misbehave on purpose — late, duplicated, reversed — and a dbt warehouse that turns them into trusted interfaces.
Simulation study on reverse-engineering competitor tariffs. Comparing Active Learning, Simple Random Sampling and the Cube Method (Tillé & Deville).
UK Motor Insurance Pricing A/B Test: power analysis, stratified randomisation, hypothesis testing, Consumer Duty compliance, stakeholder Excel delivery
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