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.

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.

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

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.

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.

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.

🚛 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

Collection of case studies and theoretical frameworks in business analytics and strategy. Projects span CLV modeling, price optimization, diffusion models, and STP analysis, applying structured reasoning to real-world business problems.

Hackathon Bugsbyte ‘25 – Project 🎓, Our first hackathon 🪲, Price Optimizer 💲