Helping 58 plants to roll out AI tools in daily tasks 24x7. We developed a platform to work collaboratively where practitioners post ideas based on daily tasks. Our Analytics team, integrated with the practitioner, proposes solutions using our low code tool. This approach saved more than $95M monthly. I also led an initiative to optimize the data collection over the sensors across the productive scenario. Those IoT optimizations saved near than $5M monthly by plant.

2017 - 2018 | Professional Marketplace - A Big Data internal product able to match practitioners to open seats. 2018 - 2019 | Developing NLP flow to improve progress in multi proposal support chatbots (pre-understanding layer) 2019-2020| Development of deep learning models based in image processing focused in agriculture segment.

Consumer API development for all social networks. Creation of the Analytics environment and the flow from data entry to dashboard consumption. Data validation and quality mechanisms Production of performance forecast models for campaigns based on history, both in terms of cost and marketing metrics such as CPM, CPV and among others.

Developed libraries and POCs related to SAP HANA and SAP Consumer Insights 365.

Application of computational modeling research focused on hydrology to forecast ecosystem scenarios through ETA models using NSE-UA Shuffled Complex Evolution optimization Building scripts using GrAds Script, Fortran 70, Python and C++