Rodrigo Lara

Lead Engineer in rotating equipment monitoring at one of the largest deepwater oil and gas operations, covering 300+ assets across 8 FPSOs with a team of five engineers. • Supported 24/7 operations in preventing losses equivalent to +800,000 barrels (USD 75M) through the design and deployment of engineered alerts; • Delivered 900+ maintenance recommendations to offshore teams over two years, directly supporting asset availability; • Developed predictive monitoring models using PCA and linear regression

Promoted from Trainee to Analyst role, taking on direct project responsibilities within market intelligence and sales teams • Supported the implementation of an omnichannel customer service platform for heavy machinery and parts - coordinating IT teams; • Worked in cross-functional teams with sales managers and financial institutions to support equipment financing solutions, contributing to USD 10M in financed parts sales in 2022; • Contributed to aftermarket sales strategy for the construction sector

Worked as an outsourced specialist within the mechatronics engineering team, responsible for the validation lifecycle of automatic shifter systems across production and development vehicles. • Managed validation of automatic shifter systems across 5 production vehicles and 3 new development projects — brands include FIAT, Jeep, RAM, Citroën and Peugeot • Developed system requirements, technical documentation and validation plans for mechatronic shifter, ensuring compliance with engineering specifications

Worked as Technical Corner in Control Room support brazilian dealer network: • Developed KPI-based metrics for anomaly detection across the national dealer network • Delivered remote technical diagnostics for mechatronic and vehicle system issues to dealers nationwide • Acted as technical interface between IVECO engineering and the dealer network, developing connectivity solutions that integrated remote diagnostic tools into day-to-day support workflows

Postgraduate specialization program focused on machine learning, statistical modeling, data visualization and data-driven decision systems. • Thesis: optimization of visitor routing in theme park using regression analysis and genetic algorithms • Tools and methods: R (tidyverse, ggplot2, radom forrest), Power BI, statistical modeling, machine learning

One of Brazil's top-ranked public engineering universities (Anabin H+) — equivalent recognition to a Master's level degree in the German academic system. Thesis: Theoretical evaluation of valve timing strategies for fuel consumption optimization in low-displacement engines. • Research Assistant (CNPq): research on diffusible hydrogen behavior in wet underwater welds.