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

A Power BI-driven retail sales analysis project uncovering customer purchasing patterns, seasonal trends, product preferences, and revenue drivers using transactional data. Key insights and visuals support data-informed business decisions in inventory, pricing, and marketing strategies.

Business Experimentation: A/B Testing

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.

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.

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

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.

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.

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

In this repository through advanced data analytics and market research assessed financial viability, customer behaviors, and market trends to form a strategic game acquisition recommendation. Process included market share simulation, cluster and factor analysis, GaborGranger pricing strategy, and customer segmentation.

Predictive analytics project for Airbnb pricing using multiple machine learning approaches

Optimizing car insurance risk analysis with statistical modeling and machine learning to improve marketing strategy and premium pricing at AlphaCare Insurance Solutions.

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

A data-driven pricing optimization project using Excel and Python to increase revenue while adhering to business constraints.

Vendor performance analysis integrating sales, purchase, and inventory data to optimize pricing, inventory, and supplier efficiency with SQL, Python, and Power BI.