Head of AI & Digital Transformation throughout all areas of the company in South LatAm White Martins / Linde plc

Key Achievements & Awards:- Portfolio: +R$15 million invested in the development of +30 digital projects (dashboards, RPA, web apps, ML/AI models, optimizers etc.) in Brazil and Hispanic Countries;- Ecosystem: partnerships established with Digital Hubs, Science Parks, Accelerators and Startups;- Culture: development of a digital culture through committees, workshops, trainings and digital events in a community of +5.000 employees.- Awards: "Prêmio Destaque 2019" of Linde/WM with the best digital project chosen by the CEO

Have end-to-end responsibility for a project from conception through to production; manage local technical teams in projects abroad; creation of KPIs and dashboards by Power BI; use of AI/Data Mining techniques through Python and R to identify fraud patterns in Energy sector; manipulate database to enable the use of analytics; lead work package activities by detail planning, executing and reporting; interact with the customer to discover process problems and propose analytics solutions.

Activities performed: implementation and deployment of Credit Risk Models in the Banking Sector using Statistical and AI algorithms such as Logistic Regression; development of Predictive Analytics Proof of Concept using Python and SPSS for Sentiment Analysis and Fraud Detection; supporting proposals for big analytics consulting projects in Brazil, including BI Strategy, Big Data and Advanced Analytics.

Responsible for the development of web app based on ENOVIA and EXALEAD CloudView solutions to demonstrate the feasibility of a multi-source application in the research of electronic components through an intuitive navigation and an industrial classification.Major developed skills:- Requirements Engineering- Database / Data Engineering - Web development

Robotic systems are currently used in the medical field to support some surgical procedures, particularly the laparoscopic surgery. However these robots do not meet the expectations of its users. There is a lack of new interfaces to improve usability, minimize the risk of misuse and facilitate learning in the control of these robots. Therefore, this project covers the development and validation of a virtual reality system and innovative motion tracking technologies in the command of robotic endoscope systems.Major developed skills: - Rapid prototyping & Requirements Engineering.- Technology Research (different types of sensors).- Virtools & C/C++ routines to create the virtual reality environment.

This research project addresses the development of different approaches for an online meteor signal detection using the Radio Meteor Scatter technique. The online filtering of these signals allows an efficient way of classification and a significant storage requirement reduction. The objective was achieved by reaching 98.8% of detection efficiency and avoiding, in a full day, 6.7 GB of noise to be recorded.- Activities performed: study of matched filter, signal processing and physics theory. Computational work involving the use of MATLAB and C/C++ rotines to implement the filter. Repairs and design of the meteor signal capture equipment.