Matias Uriel Gorenberg

Maintains analytical and Simio digital twin simulation models for capacity planning across multiple supply chain areas, generating ~€700K in annual savings through resource optimization. Built decision-support analytics for major CAPEX investment, launched the site’s first oxygen/utilities model, and developed Power BI compliance dashboards supported by Databricks data pipelines and Agile (Jira) d

Led a cross-functional knowledge transfer project between MSAT and Engineering by structuring process data and documentation to improve accessibility and reuse. Served as departmental lead for New Product Introduction (NPI), coordinating timelines, tracking key metrics, ensuring regulatory compliance, and mentoring junior colleagues.

Developed a statistical monitoring model (RT-MVA) to detect anomalous manufacturing batch behavior, preventing ~$1.5M in product loss and triggering root-cause investigations. Built Python/SQL sensor data pipelines to estimate tank volume, automated reporting workflows, and supported Databricks pipeline architecture improvements across systems.

Led a team of 5 to remediate 400+ temperature monitoring reports as part of a corrective action program, rolling out a new monitoring methodology to maintain equipment performance under validated conditions. Designed the company’s first liquid nitrogen equipment validation process and served as SME for temperature-controlled unit qualification, presenting to internal and external auditors with con

Designed the company’s first adsorption tower from first principles through a multi-month research and engineering effort, delivering the solution to international clients. Produced detail engineering for biogas, LNG, and CNG projects under ASME, ATEX, API, and ISO standards, including hydraulic calculations and P&IDs, while performing project engineering tasks beyond discipline scope.

Independently led mid-size complex projects and presented simulation-based analysis to client stakeholders, shaping operational- and safety-critical design decisions. Developed conceptual and basic engineering deliverables including hydraulic calculations, P&IDs, and plant operation manuals, and acted as a cross-functional process reference supporting instrumentation and EHS teams.

Became the primary analyst for physicochemical testing across multiple product lines, taking ownership of analysis previously handled by senior staff. Established SOPs, executed HPLC and UV spectrometry within cGMP/GLP standards, and collaborated with QA on deviation investigations and Out-of-Spec events.

Completed a Postgraduate Diploma in Data Science & Advanced Analytics at Universidad Tecnológica Nacional (UTN), covering statistics, machine learning, predictive modeling, and advanced analytics.

Grade: 9.16 / 10.00

Activities and societies: Graduated High Honour Graduate; Isidoro Marin Engineer National Award - Argentinian National Academy of Engineering.

Earned a Chemical Engineering degree from Universidad Tecnológica Nacional (UTN) with a GPA of 9.16/10.00.