Luan S.Machine Learning/AI Engineer
Skills
Possessing a strong foundation in Chemical Engineering and Computer Science, this professional has made significant contributions in the chemical industry as a laboratory and production intern, and as an innovation researcher focusing on Industry 4.0 technologies. Currently employed as a Data Scientist, expertise encompasses developing solutions in Data Science, Analytics, Machine Learning, and IoT. Proficient in statistical modeling, computer vision, and deep learning using Python-based frameworks and tools, with hands-on experience integrating edge devices and cloud services. Additionally, has demonstrated academic involvement through research initiatives and software development for educational purposes, further enhancing skills in advanced analytics and process control.
Data Scientist
5/1/2022 - Present
Developed projects and solutions in Data Science, Analytics, Machine Learning, AI, IoT, and Industry 4.0, utilizing computer vision techniques, machine learning, and deep learning. Engaged in statistical modeling and utilized Python and a variety of libraries to enhance performance and quality in code development. Implemented services and APIs using cloud containers and showcased expertise in sensor integration and frontend development, along with providing technical documentation and presentations for stakeholders.Innovation Researcher
3/1/2022 - 4/1/2022
Focused on the development of Key Performance Indicators for production performance evaluation using tools from Advanced Analytics, statisitcal correlations, and Advanced Process Control. Successfully implemented the project through Agile methodology and Scrum, contributing to efficiency in production processes.Volunteer Researcher
5/1/2019 - 3/1/2022
Created a Python program for data acquisition and process control in a laboratory-scale plant, including a graphical interface for process parameter recognition. Additionally, developed a thermodynamic program using Python to analyze operational conditions in ideal Rankine cycles and produced a version of the program in VBA.
Chemical Engineering at Faculdade de Americana
2017 - 2021Computer Science at ETEC de Nova Odessa
2014 - 2016
Prompt Engineering at IBM
4/1/2024Green Belt Six Sigma at RL&Associados
5/1/2023Deep Learning at IBM
9/1/2022Python for Data Science at IBM
12/1/2021Data Science Foundations - Level 2 (V2) at IBM
7/1/2021Microsoft Excel 2016 - Advanced at Fundação Bradesco
1/1/2020Stochastic Processes at National Research University — Higher School of Economics
8/1/2019
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