Jorge Acuna Vallejos
Kraj: Chile
Lokalizacja: Budapest, HU
Na Useme od 5 sierpnia 2026
O mnie
I build the automated pipelines and predictive models that turn your complex, messy data into executive-ready decisions. I combine 8 years of professional experience—rooted in mechanical engineering—with 3+ years of dedicated, hands-on expertise building ETL/ELT pipelines, robust BI dashboards, and Machine Learning models.
How I Drive Business Value:
Cloud Data Engineering: I architect scalable ETL/ELT pipelines using Python, Google BigQuery, and PostgreSQL, migrating raw data from local environments to robust cloud data warehouses.
Advanced Business Intelligence: I design executive-level, highly interactive dashboards in Power BI, Tableau, and Looker Studio.
Data Science & Machine Learning: I train predictive algorithms (XGBoost, SVM) for critical business needs, such as early failure detection and automated operational cost optimization.
Based in Budapest, Hungary, I am available for immediate collaboration.
Kategorie
CV / Résumé
Cze 2022 - Kwi 2026
R&D Engineer
Procure
Built ML anomaly detection and ETL pipelines cutting processing time by 50%. Architected Firebase/BigQuery systems, created Power BI dashboards, and led Agile teams as Scrum Master.
Sty 2021 - Cze 2022
Design Engineer
Flutek
Transformed millions of high-density spatial data points into standardized digital models. Reconciled physical inventories with 3D models to ensure data accuracy for a Digital Twin system.
Maj 2018 - Sty 2021
Design Engineer
Neptuno Pumps
Validated system reliability by analyzing physical bench test data against theoretical baselines. Created data-driven technical proposals using statistical analysis to increase B2B client ROI.
Mar 2017 - Maj 2018
Project Engineer
Minera Valle Central
Developed Advanced Excel models with Macros and Pivot Tables to generate dynamic management reports. Tracked KPIs using real-time data to update projections and keep operations under budget.
Portfolio
Developed a machine learning (XGBoost) and operations research (PuLP) web application , resulting in a predictive system that dynamically reassigns flight crews to minimize operational downtime and cascading costs.
Engineered a Python/PostgreSQL pipeline and Tableau dashboard , resulting in a digital tool that accurately estimates solar panel requirements and turnkey financial investments based on real-time weather.
Architected a Python/BigQuery ETL pipeline and automated budget-auditing bot , resulting in a Looker Studio dashboard that instantly identifies unprofitable campaigns and prevents ad budget waste.
Designed a relational data architecture and Looker Studio dashboard to process transactional logs, resulting in a mobile-optimized BI tool that delivers real-time geographic financial insights and mathematically accurate daily expense tracking.