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Analyzed supply chain data to identify trends and key factors. Visualized sales, defect rates, lead times, and costs. Used Decision Tree Regressor to find top features impacting product costs and lead times.
This repository is created for information and datasets for my MSc thesis "Bioenergy Supply Chain Simulation and Improvement based on Thailand Alternative Energy Development Plan (AEDP)"
The motivation of this project is to complete the course in Data Science from HarvardX. The project aims to predict the units sold for each specific product. The database was downloaded from Kaggle and consists of data from e-commerce platform Wish (https://www.wish.com). Wish is a retailer that sells millions of product to customers in a e-comm…
Materials and examples for performing Data-driven business decision making. It contains examples of Data Science applications at the fields of Finance, Supply Chain and Business Management.
Supply chain management is the process of delivering a product from raw material to the consumer. It includes supply planning, product planning, demand planning, sales and operations planning, and supply management.
GitVerify is a tool designed to analyze GitHub repositories and provide insights into their trustworthiness. It gathers data from the GitHub API and, optionally, performs VirusTotal checks on associated domains, then presents the results in a concise manner. Supported output formats include: text, json, csv.
SupplyChain-NFT: Tracking Goods Across Warehouses with Blockchain and NFTs - Dive into the future of supply chain management with this project. Utilizing Non-Fungible Tokens (NFTs) and blockchain technology, we've built a robust system to seamlessly trace the journey of goods from one warehouse to another.
📦 Commissioned by Prof to develop a functional Supply Chain simulation website Developed using Flask and Dash, to analyse macroeconomic factors through Plotly.Js charts