Vansh Agarwal

Completed a structured virtual training program on cryptocurrency market analysis and predictive modeling, achieving over 90% model accuracy in forecasting short-term price movements. Gained hands-on experience with Flask, LSTM neural networks, Python, and financial data preprocessing, working with datasets exceeding 100,000+ market entries for real-time analysis. Designed and deployed an end-to-end crypto price prediction platform using LSTM architecture and Flask, enabling live market forecasting and improving prediction latency by 25% through optimized data pipelines.