wisnal

Geophysics-trained analytical professional who transitioned into data science through rigorous self-directed learning and hands-on project development. Over the past two years, I have engineered multiple high-impact personal projects demonstrating full-cycle ML competency: time-series forecasting (RMSE ↓5.4%), banking RAG systems (93% precision@1), subsurface intelligence pipelines (F1=0.93), and volcanic ash detection (97.4% accuracy). My unique blend of quantitative reasoning, domain-agnostic problem-solving, and mastery of modern data tools (Python, XGBoost, Prophet, SHAP) enables me to extract actionable insights from complex data—whether working independently or within cross-functional teams.