steel-industry

大宗商品供应链管理系统，数字供应链

Modern responsive business website for Sawariya Traders built with React, Tailwind CSS, and Vite.

Created a Sales Dashboard and compared SteelCo's business with the global steel market to identify trends and optimize business strategies.

Analyzing India's ores and minerals exports (2015-2018) reveals Diamond as the top export (₹57,019 Cr), with Bauxite showing the highest growth (+₹1,320 Cr). Total exports rose from ₹32,800 Cr to ₹37,500 Cr. Data was processed using MySQL and visualized with Python.

Web app for steel sales teams: real-time pricing for six steel types (HRS, CR, HDG, pickled, teardrop, Magnelis), role-based offer approval, route-based transport costs, quarterly PGL scheduling, PDF/Excel export and a full analytics panel. Next.js 14 + PostgreSQL.

Website prototype for Swastik Steel Works, showcasing steel products, industries served, and company information.

Machine Learning based prediction of oxygen consumption in LD steelmaking operations using Random Forest and XGBoost.

School data science project predicting steel industry energy usage with Python notebooks and linear regression.

A Scenario-based Stochastic Programming model tailored for Steel Industry Markets and backtested in real-life market data

Monte Carlo simulation for FEMELLI (Foulad Mobarakeh Esfahan Steel Company) on the Tehran Stock Exchange (TSE). This project provides tools and models for simulating market scenarios, assessing risk, and forecasting outcomes for investment strategies involving FEMELLI stocks.

Quantitative Carbon Risk Model for the Global Steel Sector | Excel + Python (EDA) | Scenario Analysis & CBAM Stress-Testing

Steel-Demand-Forecasting