Built models to predict emotional, perceptual, and motivational patterns in voting, including data collection, variable design, vectorization, and analysis for presidential campaign strategy.

Developed predictive models (logistic regression, decision tree, random forest, XGBoost) for voting behavior analysis.

Used Christie’s SQL database and cosine-similarity ML model to estimate artwork values and support buyer negotiation.

Prepared valuation of Fernando Botero’s artworks using SQL and machine learning.

Oversaw production, task allocation, cost calculation, and production queue. Automated processes with Doosan Lynx 220 CNC, implemented ERP in VBA/Access.

Managed production, cost analysis, and automation with CNC and Fanuc programming.