Data Scientist
Freedom Broker
Jun 2025 — Jul 2026Designed and deployed end-to-end Machine Learning pipelines processing high-frequency time-series datasets in a Linux production environment. • Engineered a ∼500-feature ML dataset; conducted dimensionality reduction (PCA, ICA, UMAP) and unsupervised clustering (K-means, Hierarchical) with silhouette validation to discover hidden data regimes. • Developed and trained deep learning and time-series forecasting models to generate predictive signals and pattern detection mechanisms. • Built automated diagnostic pipelines and real-time visualization dashboards using PyTorch, pandas, SQL, Plotly, a