Open Source Pricing & Packaging Infrastructure

Shiny app for Price Optimization using prophet and lme4 libraries for R.

Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes

A REST API for computing local energy market (LEM) prices for a Renewable Energy Community (REC) that can promote the minimization of the members’ operation cost with energy.

A REST API for sizing and planning the operation of a Renewable Energy Community (REC) or Citizen Energy Community (CEC) that can promote the minimization of the members’ operation cost with energy.

This repository includes a price optimization study about finding the best sales price for maximizing company revenues.

Unlock profit potential with dynamic pricing! This machine learning project optimizes retail prices using regression trees, delving into price elasticity. Explore tools like Python, Pandas, and Matplotlib for robust analysis and decision-making in this data-driven pricing journey.

Projects on the way to completing the Data Analytics Diploma with honors at SAIT

Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics

AI-powered auction bidding system using machine learning to optimize car purchase decisions. Combines VBA web scraping with Python decision trees to calculate optimal bid prices based on repair costs and market values.

Price elasticity estimation per customer segment via log-log OLS regression. Revenue-maximising discount found using SciPy Brent's optimisation. Python · SciPy · Pandas

ML-based dynamic pricing system for retail optimization using Python, achieving 129% projected revenue increase

Pipeline de ML para otimização de preço de listings Airbnb no Rio de Janeiro. Demand curve estimation, FastAPI + Cloud Run, Airflow, MLflow, Evidently.

This project represents a comprehensive data analysis and business intelligence system designed to analyze DDT (Documenti di Trasporto) - Italian mandatory transport documents - and create intelligent price lists (Listino) for sales management.

AI-Powered Competitive Pricing Intelligence for E-Commerce Sellers

🚛 This project focuses on building a machine learning system to predict shipment costs for logistics companies. By analyzing various factors such as package weight, dimensions, origin-destination pairs, and delivery speed, the model enables dynamic pricing to 💰Prevent financial losses ,⏱ Ensure timely deliveries ,🎯 Offer competitive rate

Presentation materials from Worthington Industries' presentation at Tableau Conference 2018

End-to-end Excel VBA data model for evaluating price elasticity, promotion lift, and sales performance. Automates data preparation and integration, calendar mapping, KPI computation, and scenario simulations for FMCG analysis.

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.

Home Assistant custom integration for multi-source electricity price timelines, device runtime planning, and learned consumption profiles.