Modelling of Economic Activities

Leonardo Carvalho

ML Engineer
Data Engineer
Python
R
SQL
Each Economic Activity Category has its own patterns. Therefore, it is crucial to any Financial Modeling that the companies are correctly categorized.
I developed a classifier that identifies Economic Activity Codes for companies based on several features from the companies. For the Data Engineering step I developed a custom ETL for data ingestion on xml processing. The Data Analysis and Machine Learning modeling was done in R and Python.
The implemented solution used a Fuzzy Logic classifier that permitted one company to participate in more than one Economic Activity Category. That resulted in a boost on the accuracy of the subsequent Pattern Modeling. This work was presented at a National Conference at the Brazilian Federal Court of Accounts - https://www.youtube.com/watch?v=aPOjMWdpQu0&t=394s
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