Nityam Churamani

AI/ML Analyst at JP Morgan Chase & Co. with 2+ years of experience in designing intelligent systems for crisis-time decision-making and firmwide resiliency across 300K+ critical assets. Skilled in agentic AI frameworks, NLP, LLMs, and quantitative modeling for real-world applications in finance and risk management. Achievements include constructing multi-agent AI systems for recovery planning automation, creating BERT-based models for workforce resiliency mapping with over 96% accuracy, and spearheading AI-driven trade surveillance projects to improve fraud detection in Fixed Income, FX, and Commodities assets by reducing false positives by 25%. Published research on cancer therapy prediction and financial forecasting using sentiment analysis. Aspiring to pioneer scalable, explainable AI systems in high-stakes sectors like finance and technology.

• Computational Techniques for Predicting Response to Therapy for Cancer, May 2022 – May 2023

Developed predictive models using supervised and unsu-

pervised ML techniques—including XGBoost, Elastic Net,

and Neural Networks—combined with dimensionality re-

duction to analyze cancer gene expression data and im-

prove personalized drug response (IC50) predictions. Research Publication Link- https://ieeexplore.ieee.org/document/10392026

• Stock Price Prediction Using Machine Learning and Sentiment Analysis, May 2021 – June 2022

Utilized LSTM and ARIMA models alongside NLP-based

sentiment analysis (e.g., VADER) to predict stock price

movements, integrating deep learning and natural language processing for enhanced financial forecasting. Research Publication Link- https://ieeexplore.ieee.org/document/10094422