Caio Dias Email & Phone Number

Rio De Janeiro, Rj, Br

Rio De Janeiro, Brazil

Rio De Janeiro Brasil

Projects:- Development and Implementation of Machine Learning for failure prediction.- Production/PE Forecast for Operating and Future projects- Peregrino Regularity AnalysisKey Achievements:- Lead a multidisciplinary team in the creation of an app that processes data and generates failure predictions for critical equipment in Peregrino.- Review production loss registration process, improving quality of information, accountability of disciplines and democratizing access to the data with visualizations.- Implemented a new operating model for Root Cause Analysis of production Losses in Peregrino.Responsibilities:- Working with the engineering team on feature specifications, advocating for the user, and making decisions of implementation of Machine learning tools for failure prediction using agile methodology.- Collaborate with international teams, Identify improvement opportunities and best practices for loss data registration and use data generated to build analytical tools that clearly communicate the biggest risks to production.- Estimate production efficiency of operating fields based on historical analysis of production losses, incorporating impact of projects and planned activities.- Lead investigations with a multidisciplinary team to identify and clearly document root cause of biggest production stops in the Peregrino field. Guaranteeing the follow up of actions to avoid recurrence.

Rio De Janeiro, Rio De Janeiro, Brazil

Projects: - Integrated Operations Center (IOC) Optimizations - Peregrino end to end Maintenance- ESP Analytics / AI Failure prediction- Equinor Brazil Digital RoadmapKey achievements:- Created a Production bottleneck diagram for the Peregrino Field- Got approval for the implementation of machine learning model for real-time failure prediction in ESPs Peregrino- Developed company digitalization strategy, setting goals and metrics, and aligning country strategy with the worldwide strategy.Responsibilities:- Mapped maintenance management process and compared to current processes, identifying gaps and opportunities with Continuous Improvement tools.- Worked defining the strategy for IOC Brazil, facilitating workshops to map risks, planning actions and implementing KPIs to monitoring results.- Analyzed past production losses from Peregrino to identify the bad actors and promoted use of indicators for prioritization of improvement initiatives.- Worked in a multidisciplinary team with Production, ESP and Electrical Engineers and the operations team to map field constraints. Created a model to visualize impact of projects, the current bottleneck as well as subsequent constraints to production.- Led Artificial Intelligence project, about failure prediction, in partnership with Product, Engineering, and cross-functional teams.- Informed, influenced and executed research and product strategy. Aligned and prioritized team backlog with the product vision and roadmap of ESP Analytics.

Rio De Janeiro, Rio De Janeiro Brasil

Projects: - Requisition to payment process improvement (R2P)- Equinor Transportation Operating Model project- Move to Cloud BrazilKey achievements:- Develop a roadmap for the improvement of the requisition to the payment process in Equinor.- Collaborated in the Local Business Services cost reduction in 2020, leading initiatives in the transportation area.- Supported Equinor on Global initiative to remove physical IT infrastructure from offices, by supporting development of local strategy and identifying suppliers.Responsibilities:- Identified, monitored, and implemented continuous improvement, Lean and Digitalization initiatives and best practices in LBS.- Coordinated a multidisciplinary team to map and identify risks and gaps in the R2P process.- Mapped the transportation process using Continuous improvement tools.- Led the procurement process of new suppliers for transportation.- Collaborated with Norway in the creation of a new Transportation operating model, applied for a deviation to global standards and presented the risks, benefits and implementation strategy that was approved by the Brazilian board of directors.- Monitored and reported financial results Local Business Service area. - Coordinated the move to cloud for Equinor Brazil, managing cost, monitoring risk and talking to local stakeholders. Supported the demobilization of the local data center and worked with suppliers to prepare for a cloud first operating model in Brazil.

Rio De Janeiro E Região, Brasil

Projects: - AI implementation to increase EDP plant efficiency.Key achievements:- Applied artificial intelligence to correlate all the variables that impact the efficiency of the Gravataí boiler.- Got approval for the failure detection pilot at EDP's steam generation plant.Responsibilities:- Worked as part of a synergetic lively team while collaborating with various stakeholders including AI, Data Scientists, Software engineers, and more.- Performed exploratory and targeted data analyses, visualizing data, identifying correlations- Worked with large and complex data sets to solve failure detection problems using different analytical and statistical approaches, including Sklearn Random Forest models and Deep Learning with Keras.- Trained, tested, and Deployed of data driven models.

Rio De Janeiro, Rio De Janeiro, Brazil

Projects: - Ostra Field MOBO optimization tool.Key achievements:- Improved Ostra reservoir production by 10%, increasing cash flow by use of the tool developed.- Increased efficiency of Engineers time by transforming a large manual activity into an automated and more precise process.Responsibilities:- Worked with subsea and subsurface teams, mapped production constraints and created a model for Ostra reservoir production.- Monitored and identified optimization opportunities on BC-10 Ostra reservoir.

Rio De Janeiro E Região, Brasil

Projects: - Managed all packaging improvement projects in the plant.- Support Engineering CAPEX Projects.Key achievements:- Increased plant safety by delivering engineering CAPEX on time and on budget.- Reduced lead time of packing projects in 20% by restructuring documentation and control of packaging projects applying Continuous Improvement tools and ways of working.- Delivered corrugated cases project bringing cost savings in packaging.- Supported Continuous Improvement training to Shell.Responsibilities:- Follow up on engineering projects and report to Shell Americas team.- Proposed a new operating model for managing packaging projects, defining prioritization, managing resources, deadlines, and being the focal point for suppliers.- Established documentation structuring by collaborating with Shell global team.- Coordinated operational teams from lubs plant to ensure Pkg testing/qualification/protocols are performed and approved.

Bachelor'S Degree, Mechanical Engineering

Exchange student with a scholarship granted by the Brazilian Government (Science without borders program) - Studied several subjects.

Bacharelado Em Engenharia, Mechanical Engineering

Activities and Societies: Monitor de Probabilidade e Estatística. Equipe Icarus, Formula SAE