This repository contains my solutions and analysis for the J.P. Morgan Chase & Co. Quantitative Research Virtual Experience Program.
The core objectives include: Analyzing and visualizing financial data Cleaning and preparing time-series data. Identifying patterns, trends, and anomalies. Building forecasting models Applying statistical methods to predict future prices. Comparing model outputs with historical data. Evaluating contract pricing Designing a prototype pricing model for gas storage contracts. Factoring in injection and withdrawal rates, storage capacity, and costs. Testing different scenarios and pricing strategies. Communicating findings clearly Presenting insights through visualizations and clean, well-documented code.