Data & Analytics Professional building end-to-end systems that transform complex, high-volume data into analytics, predictive models, and decision-support tools — from data infrastructure and analytics to machine learning.
SKILLS SUMMARY
Analytics
Transform complex data into metrics, insights, visualizations, and decision-support tools.
Skills:
SQL • Python • Statistical Analysis • Visualization • KPI Design
Data Science
Build and rigorously evaluate predictive and machine-learning models, with emphasis on reproducibility and time-aware validation.
Skills:
scikit-learn • Feature Engineering • Model Evaluation • Time Series • ML
Data Engineering
Design reliable pipelines and data platforms that make analytical and ML workflows possible.
Skills:
Python • SQL • DuckDB • Parquet • APIs • ETL/ELT • Data Quality
While my portfolio is rooted in finance, the underlying mathematics—from complex time-series to anomaly detection—are domain-agnostic and directly transferable to any business sector or industry.
Selected work: Financial Markets Data & ML Platform
Selected work: Financial Markets Data & ML Platform