Michell Germano Email & Phone Number

Tel Aviv-Yafo, Tel Aviv District, Israel

Tel Aviv, Israel

Brazil

• Responsible for data science/analytics initiatives of a startup company, ranging from the deployment of dashboards for control of KPIs to the creation of data pipelines to guide business decisions;
• Deployed an automated ETL pipeline that feeds a model from multiple data sources on a daily basis, using python and SQL, and stores processed data in an AWS S3 bucket;
• Optimized a warehouse through automation and use of machine learning, increasing order-picking productivity by more than 20%;
• Deployed a containerized time series forecast model on an AWS EC2 instance, feeding the results to a dashboard;
• Applying various statistical/Machine Learning models in order to profile customers and enhance marketing strategies;
• Constantly collaborated with stakeholders and leaders to understand business problems and translated them into data strategies.

Leuven, Belgium

• Developed algorithms to analyze a big geophysical dataset over the North Sea using statistical and numerical models.
• Applied clustering analysis with outlier removal and found significant patterns in the dataset.
• Used common Python libraries for Machine Learning (e.g. Scikit-learn) and applied a robust piecewise linear regression model.
• Conducted deep statistical explanatory analysis of the dataset, which later guided in choosing the right methodology for the project.
• Managed datasets in a Linux HPC cluster and applied parallelized computation, improving the model’s runtime significantly.

São José Dos Campos Area, Brazil

• Used a numerical model in predictive analysis of the atmosphere with different starting points.
• Set up the model simulations in an HPC cluster.
• Organized and analyzed multiple source datasets with different formats (binary, NetCDF, etc).
• Validated and modified a complex numerical model (WRF), leading to successful simulations.
• Extracted important insights, leading to an international scientific publication (Journal of Aerospace Technology Management). Funded by CAPES

Belém E Região, Brasil

• Analyzed a big atmospheric dataset over Northern Brazil.
• Investigated the dataset using various statistical methods and extracted important insights about the data, which later resulted in publications.
• Analyzed scientific literature critically to evaluate results.
• Published the results in an important international Journal (Atmospheric Science Letters).
• Developed algorithms in R and Python.

Master Of Science (Msc), Atmospheric Sciences And Meteorology

Bachelor Of Science - Bs, Atmospheric Sciences And Meteorology

Atmospheric Sciences, Atmospheric Sciences And Meteorology

Intensive English Course, English