Data Science Case Studies
Automotive aftermarket pricing analytics
Price Optimization Model for Airbnb, which helps Airbnb hosts set the right price for their Airbnb listing and provides customers, the benefit of cost. This is a Regression Analysis problem.
Revenue management and pricing analytics - Price elasticity modeling, promotional ROI analysis, A/B testing for media industry
Power BI & SQL analysis of discount strategy, profitability, product pricing, customer segments, and regional performance.
Synthetic personal-lines insurance portfolio built as a governed digital twin, with dataset freezing, validation gates, and actuarial realism.
End-to-end Machine Learning project that predicts optimal product discount and estimates revenue impact using LightGBM and Streamlit.
End-to-end machine learning project to predict whether hotel guests will cancel their booking. Includes pricing analysis and recommendations for increasing revenue and reducing cancellations.
R
A web scraping and competitive tracking tool for a furniture retailer.
Daily RGM price intelligence for Coca-Cola CSD at Retail store Ireland — zero-cost automated pipeline
Competitive pricing and promotion benchmarking across 5K+ SKUs with Tableau readouts.
Enterprise-grade decision support system for grain pricing and demand forecasting using machine learning, time-series forecasting, pricing scenario simulation, and business intelligence dashboards.
Retail decision-intelligence platform for footwear retail — demand forecasting, inventory redistribution, and pricing intelligence.
Day 10 · Price elasticity & promotion ROI for a Baku grocery chain: log-log demand models, promo counterfactuals, price simulation (Python, NumPy OLS)
End-to-end pricing analytics pipeline modeling gross-to-net optimizations, distributor discount structures, rebate ROI, and competitor gaps with interactive dashboard.
E-commerce pricing analysis using Python to explore product prices, discounts, brands, categories, and pricing patterns in women's fashion data.
Overhead per bid is roughly constant; the return is not. Scope-level unit economics of a construction subcontractor bid pipeline: cost to win, gross profit per overhead hour, hours sensitivity, and a minimum-GP decision rule, on an anonymized real ledger.
Pricing & yield analytics on a real warehouse portfolio using SQL and pandas — rate premium, +50% growth, and repricing recommendations.
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