Machine Learning Engineer at Time Energy
Eletrical Engineer Student at Unicamp
In 2018, I studied clinical maintenance systems at CEB-Unicamp, At this time I'd learned how to apply statistics to data analysis. In 2019, I entered in Time Energy, since then I have been working with ML applied to smart meters data (from creating data lake's architecture to deploying ML models).
My credentials include a Machine learning course from Stanford University, some courses about Python/SQL and a bootcamp that i've learned how to construct a data architecture (Lambda).
Background in: Python, Matlab, Machine Learning, Statistics, Energy, Signal Analysis, Clinical Engineering, Communication Systems, Numerical Calculus and Optimisation.
Links:
- Appling Time Series Analysis to energy consumption data (Using advanced ML technics like Stacking and Ensemble methods): https://jovian.ai/beduardo56/nbk-stacking-energy-consumption
- Appling M.L and E.D.A to São Paulo's house rent data: https://jovian.ai/beduardo56/collections/yuca-test
- Ifood Business Analyst Test: Project about customer segmentation: https://github.com/Beduardo56/ifood_business_analyst_test
- Constructing a different clustering model: https://github.com/Beduardo56/islandclusterclassificator
- Creating a MySQL Database using AWS CDK and AWS RDS to populate with covid-19 data (include COVID API):: https://github.com/Beduardo56/projeto_engenharia_de_dados
- Creating a miner of shopping mall store operation periods and constructing a dataset with that:: https://github.com/Beduardo56/store_scrapper
- DBT project to document SQL transformations on Covid Database: https://github.com/Beduardo56/dbt_covid_cases
- Streamlit dashboard to covid cases : https://github.com/Beduardo56/Evolu-o_do_coronavirus
- Appling Bissection and Newton methods to find function's zeros : https://github.com/Beduardo56/ATIVIDADE1_MS211
- Appling Range Kutta to find derivates from non-analytical functions: https://github.com/Beduardo56/ATIVIDADE2_MS211