Summary
Andres Socolich is a Peruvian Industrial Engineer with 10 years of experience applying data science and operations expertise to procurement, inventory control, budget management, and process-based management systems primarily within mining and related industries. A top-quintile graduate from Universidad Nacional de San Agustín, he blends quantitative analysis and pragmatic project control to optimize material provisioning and reduce inventory risk. Comfortable with intermediate English, he pairs domain knowledge with data-driven methods to design and implement process improvements that align operational and financial goals. As an enthusiast data scientist with active GitHub presence, he brings a curious, analytical mindset and a track record of turning supply-chain complexity into measurable efficiency gains.
10 years of coding experience
Universidad Nacional de San Agustín
Spanish, English