Data wrangling

From real-world or from opinion surveys.
Datasets to be enriched accordingly to the downstream analysis.
Example of motivation for the Health sector.
This stage is time consuming.
Example of correct time assignment in overlapped events: my project at Upwork from and for real-world.

Basic Statistical Descriptions

Properties of the data.
Pivot tables.
Business Intelligence.
Outliers identification: awkward cases, fraud… or innovative profiles based on novel topics to be soon incorporated as normal behaviour (business opportunities).


Regression-type methodologies. Classifiers.
Linear & nonlinear approaches.
Hypothesis testing.
Machine learning.
No blackbox: no unknown formula.


Algorithm in production.
On premises or in the cloud.
Involved stakeholders.
Outside intervention.