Nayel Yenikeyev

Data Engineer @Outlier Ai

San Francisco, CA, US

Boosted AI model performance by 25% through advanced chain-of-thought prompting, targeted coding adjustments, and iterative hyperparameter tuning, significantly improving anomaly detection, predictive accuracy, and business insights.• Led cross-functional initiatives to integrate anomaly detection algorithms and machine learning pipelines, optimizing data analysis workflows and increasing processing efficiency by 40%.• Automated complex data preprocessing, feature engineering, and model scoring using Python (Scikit-Learn, Pandas), reducing manual effort by 50% and accelerating deployment to production environments.• Developed prompt-engineered AI solutions to deliver clear, actionable insights and explanations for detected outliers, enhancing model interpretability and empowering non-technical stakeholders in data-driven decision-making.