Raphael Bubolz Larrosa Email & Phone Number

State Of Santa Catarina, Brazil

People Management:- Goals setting- Performance review- People development- Talent acquisition and retentionProject and Product Management:- Product Roadmap definition- KPIs and Metrics definition- Requirements and resources analysis- Risk management- Finance and viability analysisTechnology:- Identify possibilities and alternatives in data science to solve.

Porto Alegre E Região, Brasil

• Generate reliable predictive and prescriptive models based on advanced statistical modeling and / or machine learning methodologies to meet business objectives and improve customer satisfaction and experience.
• Responsible for data-driven and costumer centric initiatives in the different stages of the customer relationship cycle: Activation, loyalty and retention.Models portfolio:
• Churn Prediction
• Product Reccomendation (propensity model)
• Next Best Action
• Next Best Offer

• Coordinate digital transformation and initiatives related to the unit's Innovation Roadmap, organizing activities and people in line with the strategic objectives of the current planning cycle.

• Data Science:
• Predictive sales forecasting models using Linear Regression.
• Time series analysis for shipment of products with statstmodel and the SARIMAX algorithm.
• Modeling for Labor Optimization through Operational Research
• Prediction of system and component failures through error code analysis with Naive BayesBusiness Intelligence:
• Development of dashboards and reports using Tableau and Power BI to help the decision making process and understanding of business areas: Sales and Operations Planning, Quality, Supply Management.

• Member of the EPDP team (new products and projects delivery): Responsible for the development and support of new products (tropicalization) for the business unit.
• New products development (Rosario Project): Project carried out for John Deere unit in Rosario. Developed the line design and a Playbook for the factory.
• Leader of MES (Manufacturing Execution system) Implementation: Responsible for the implementation of the Project in the Final Assembly Line and for the coordination of the project in the department.
• Virtual Build Leader - Responsible for conducting Virtual Build events for new products. (Events for testing and simulating the conditions of new products in the unit for the market)
• Restructuring, reorganization and change in indicator management - Development of new methodology for indicator control (OKRs), leadership in the change process, conducting meetings and supporting other engineering.

• Production engineering: - Creation and organization of sequence of events for new projects and products on the assembly line; Study of methods and times and development of standard documentation for the areas of.
• Quality Engineering: Acting in the area of quality planning, conducting meetings of PFMEA, Control Plan, and conducting Root Cause analysis with ARA methodology, 8D, Ishikawa, among others.
• Six Sigma Project Leader - Structuring the torque control process: As the Green Belt of the project, the processes for torque control in the unit were defined. Performed statistical studies (Pearson, Hypothesis tests.
• Key User SAP - MPD: Roll-out, Workshops, Meetings and Process Surveys, Upgrades and Support Testing for the SAP John Deere Team.

Porto Alegre E Região, Brasil

• Support in the process of production planning and logistic control;
• Elaboration of spreadsheets and performance indicators
• Development of reports for the business areas

Master Of Business Administration - Mba, Data Science: Ai, Machine Learning & Big Data

Bachelor Of Engineering (B.E.), Production Engineering

Técnico Mecânico, Tecnologia Em Mecânica De Precisão