Devesh Vyas

I am a data scientist and Master of Financial Engineering candidate with hands-on experience building production-ready machine learning systems and trading strategies. I combine rigorous academic training in financial engineering and data science with practical project experience in classification, anomaly detection, and automated trading.

My projects include a real-time stress detection CNN-BiLSTM achieving 98% accuracy, an XGBoost telecom conversion model with a 92% F1-score, a fraud detection pipeline that improved accuracy by 20%, and a Python-based crypto trading bot with backtested alpha generation. I emphasize robust data preprocessing, feature engineering, and model validation to deliver measurable results.

I am solutions-driven, comfortable with cloud and deployment workflows, and adept at collaborating in agile settings to translate business problems into scalable analytical solutions. I seek roles where I can apply machine learning and financial modeling to drive impactful outcomes.