This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

• UpdatedDec 11, 2025

Multi-agent LLM simulations testing algorithmic collusion and coordination breakdown in oligopoly markets.

• UpdatedJul 9, 2025
• Jupyter Notebook

Dynamic Pricing is an application of data science that involves adjusting the prices of a product or service based on various factors in real time. It is used by companies to optimize revenue by setting flexible prices that respond to market demand, demographics, customer behaviour and competitor prices.

• UpdatedApr 7, 2025
• Python

Business Experimentation: A/B Testing

• UpdatedApr 12, 2025
• Jupyter Notebook

🔔 Receive Apple App Store revenue notifications in real-time on your device with RevenueBell, a lightweight Cloudflare Worker script.

• UpdatedFeb 20, 2026
• JavaScript

Automated scraping solution to aggregate competitor pricing data into comprehensive spreadsheets.

• UpdatedFeb 2, 2026
• HTML

This report presents a detailed analysis of an online sport retail business, focusing on revenue metrics, product performance, customer engagement, pricing strategy, brand analysis, and seasonal trends. Through Python and SQLite, various aspects of the business were examined and revealing key insights into revenue generation.

• UpdatedMay 1, 2024
• HTML

Backend service for the Price Optimization Tool — built with Django and Django REST Framework. Provides secure APIs for product management, demand forecasting, and price optimization with role-based authentication and filtering.

• UpdatedOct 6, 2025
• Python

A web-based AI calculator helping SMEs (UMKM) accurately calculate Cost of Goods Sold (HPP/COGS) and profit margins using Python and Streamlit.

• UpdatedJan 15, 2026
• Python

AI-Powered Competitive Pricing Intelligence for E-Commerce Sellers

• UpdatedJan 14, 2026
• Python

AutoXR. End to end product design case study for an XR vehicle customization experience. Covers user research, conjoint driven tradeoffs, pricing, and launch strategy.

• UpdatedDec 29, 2025

Pricing Analytics: Como os Dados Guiam Estratégias de Mercado de Cobre Trabalho apresentado para obtenção do título de especialista em Business Intelligence & Analytics na ECA-USP Pricing Analytics: How Data Guides Copper Market Strategies Work was presented to attain the Specialist in Business Intelligence & Analytics title at ECA-USP

• UpdatedMay 18, 2025
• Jupyter Notebook

Power BI dashboard analyzing retail brand performance, discount strategy, and profitability trends using Microsoft Azure as data source.

• UpdatedFeb 18, 2026

This project includes the business plan of the Centaurus Racing Team's formula student car, completed as part of my bachelor studies.

• UpdatedNov 4, 2024

Predicting German used car prices using Linear Regression & Business Analytics.

• UpdatedJan 14, 2026
• Jupyter Notebook

Comprehensive EDA of 120k+ flight records using Python. Analyzes the 'Weekend Premium,' amenity-based price variance, and Redeye flight cost-efficiencies.

• UpdatedFeb 7, 2026
• Jupyter Notebook

Adaptive pricing system for profit maximisation featuring frontend adapters, user modelling, APIs, and model evaluation.

• UpdatedJul 14, 2025
• Python

Projeto de Data Science para maximização de lucros usando Elasticidade de Preço e Python.

• UpdatedJan 13, 2026
• Jupyter Notebook

Frontend interface for the Price Optimization Tool — built with React, TypeScript, and Vite. Features a clean, responsive UI for managing products, viewing demand forecasts, and exploring optimized pricing insights.

• UpdatedOct 12, 2025
• TypeScript

Exploratory Data Analysis (EDA) of Uber ride data using advanced SQL queries. Focuses on identifying urban demand hotspots, uncovering surge pricing patterns, and analyzing route efficiency.

• UpdatedJan 19, 2026