With four bachelor’s degrees (BBA, Law, Economics, and Mathematics) and hands-on experience as a developer, I’ve developed a unique ability to navigate workflows that typically carry high coordination costs. This interdisciplinary perspective makes me effective as a consultant. Many businesses face friction because devs don’t grasp economics, researchers aren’t versed in compliance, and product managers lack exposure to either. I can fluently engage with all these groups, translate across domains, and provide holistic analysis—an asset particularly valuable for early-stage ventures that need to align multiple moving parts. The previous reasoning is also true for AI agentic projects, where I have also engaged in a couple of projects and have the same capacity of multidisciplinary analysis.

Diverse tasks including platform development (time-series forecasting), data processing, API integration, model calibration, and DevOps. Led the design and implementation of a new ETL pipeline, integrating it with legacy systems and cloud services.

Development of personalized BI solutions and reports. Design of data pipelines and models to automate key KPIs and ensure user-friendly presentation after client consultations.