CHAINFLY is building an AI-driven SaaS platform to help solar players navigate oversupply, trade disruptions, and supply chain risks. We focus on solar and energy components modules, cells, wafers, polysilicon, batteries, inverters, and storage systems to provide real-time intelligence for developers, EPCs, and investors. Your Role As a Solar Trade & Supply Chain Tracker Intern, you will: Collect & clean open-source datasets related to solar components: Solar modules & cells (UN Comtrade, MNRE, SECI) Polysilicon & wafers (IRENA, IEA, WTO) Inverters & batteries (IEA, World Bank, customs portals) Map global trade flows of solar and storage components (India, China, US, EU, Middle East). Support development of AI/ML models that forecast risks: oversupply, tariff shocks, export declines, input shortages. Build dashboards to track imports, exports, price volatility, and supply bottlenecks. Draft insight reports on solar supply chain vulnerabilities and opportunities. What We're Looking For Students / freshers in Data Science, AI/ML, Renewable Energy, Supply Chain, or Economics. Skills: Python/R, SQL, data visualization (Tableau, Power BI, Plotly). Knowledge of solar value chain (modules, cells, wafers, inverters, batteries) is a plus. Passion for solar energy, trade intelligence, and supply chain analytics. What You'll Gain Hands-on experience in tracking solar trade & supply chains globally. Deep insights into solar modules, cells, wafers, polysilicon, inverters & storage markets. Certificate of Completion + strong recommendation letter. Mentorship from energy & AI experts.