We provide services to companies or private individuals through CONICET's High-Level Technology Services (STAN) system. We offer the following services:

1) Consultancy in data analysis, statistical modeling, and data science. (ST 4448)

Details: Construction, resolution, and interpretation of probabilistic models. Data analysis and machine learning tools are used. Among the tasks are:

• Creation of Bayesian models adjusted to particular problems.
• Evaluation of data analysis methodologies in use.
• Integration of new data science tools into pre-existing workflows.
• Interpretation of results, reevaluation of analysis, and advice on disseminating results.

Methodology: Bayesian models are implemented using mainly the Python libraries PyMC and ArviZ. The flexibility of modeling tools allows us to capture the structure of the data, for example through hierarchies, and prior domain knowledge. If necessary, the libraries used can be adapted to allow, among other demands, the scalability of inferences. In addition to probabilistic modeling, there is the ability to apply other forms of modeling including mathematical modeling, computational simulations, and Machine Learning techniques.

2) Training in Scientific Programming with Python (ST 4360)

Details: Teaching courses related to scientific programming using the Python programming language and its associated libraries. The training may incorporate the following topics:

• Introduction to the Python programming language.
• Invocation of external program functionalities.
• Integrate applications (or scripts) in different languages.
• Scientific Programming Libraries of the Python ecosystem (Numpy, Scipy, Pandas Matplotlib, etc.).

Methodology: Applicant-centered, problem-based Python training. For this, tools from the Python ecosystem are used such as Jupyter Notebooks, IDEs, and scientific libraries such as Numpy or Matplotlib, among others.