Aaryan Mehta

Master's

Computer Science

Emkay Global Financial Services

Intern

- India - Deployed a predictive model utilizing LLMs (Large Language Models) and LSTMs (Long Short-Term Memory), that improved - Emkay's equity trading strategies by 30%. This involved deep time series analysis of NASDAQ closing auction data and predicting the closing price movements of stocks using data from the order book and the closing auction of the stock - Integrated a Twitter sentiment analysis component using advanced LLMs and NLP, which significantly enhanced predictive - 15% increase in performance - Implemented efficient data preprocessing and memory optimization techniques, reducing dataset memory usage by 60% while - Worked closely with finance and data science teams to translate complex model outputs into actionable trading insights - Collaborated with the IT team to deploy several different models using Docker and AWS, ensuring seamless integration