Ramon Joseph Esteves

I am a high-impact Data Science leader with over 10 years of experience in statistical modeling and predictive analytics, specializing in NLP and LLM integration. I lead risk detection initiatives and build end-to-end ML pipelines from feature extraction to production deployment.

I have architected production-grade database tables and ETL pipelines to ensure high data integrity and optimized performance for downstream reporting. I implement advanced models such as XGBoost and logistic regression and apply techniques like SMOTE and hyperparameter tuning to handle skewed fraud datasets.

I spearhead LLM integration and prompt engineering to automate qualitative risk assessments, and I have driven stakeholder collaboration across business units to validate models and achieve regulatory compliance. I hold a patent for enterprise alert-based information systems that analyze and present high-frequency alert data for risk mitigation.

I am proficient in Python (Pandas, Scikit-Learn, PyTorch), R, SQL, SAS Viya, Tableau, BERT embeddings, TF-IDF, and other ML tools. I focus on delivering production-ready solutions that translate complex analytics into actionable business insights.