Professional Experience
|
| |
|
|
| 05/2022 – 10/2022 |
|
Student Assistant
Bundesanstalt für Gewässerkunde (BfG), Koblenz, Germany
- Through data analysis in R and Python, determine how the short-term temporal variations in suspended sediment characteristics and chemistry differ at the different locations in the Rhine River.
- Conducting laboratory work in a sediment laboratory
- Data analysis in Python: PCA, multiple and simple linear regression, Impute. Data analysis in R: data frames management, plots, statistical analysis, and linear regressions.
|
|
10/2021 – 02/2022
|
|
Student Project
University Stuttgart
- Designing a user interface for the water distribution system of a town with Python / also using Python module: tkinter
- Using functions, classes, and objects. Show up through aGraphical User Interface (GUI), the main elements of a water distribution system, such as: consumption according to thecountry, daily flow, hourly flow, and pipe dimensions.
- Python libraries: os, logging, math, matplotlib, openpyxl, numpyand pandas
|
| 05/2018 – 03/2021 |
|
Environmental engineer
Urbalia Panama SA, Panama City
|
|
01/2018 – 05/2018
|
|
Environmental Reporting Analyst
ENVIROLAB S.A., Panama City
|
