I've built predictive valuation models and automated Python/SQL data pipelines at Trimble Investments Group, improving investment decision-making efficiency by 53% and reducing manual data preparation by 44%. I also created Power BI dashboards for property ROI, market absorption, and portfolio occupancy.
I'm currently developing XGBoost and LightGBM models at Shipd, teaching applied machine learning at MLX Labs, and mentoring students through IEEE SSCS AUCS. My work spans Agentic AI, predictive modeling, data analysis, model evaluation, and practical decision-support systems.
