marcelmotta

Data Scientist & Engineer

Pinned Repositories

twitter-faves
An analysis on my preferences on twitter
Language:Jupyter Notebook1 2 00
ChelseaTweets-ETL
ETL with Hive and Spark, by using Cloudera's distribution. Project based on the Chelsea Bombing Twitter dataset.
Language:Jupyter Notebook1 1 02
CVClassification
Document classification pipeline for evaluating CVs.
Language:Python1 2 02
IMSports-ETL
ETL process for creating a Data Warehouse using SQL Server (SSIS and SSMS). Project based on the AdventureWorks dataset.
Language:PLSQL21 5 16
lx_floods
Machine Learning model for flood prediction using weather station data
Language:Python1 2 00
Sim4Sec
ETL process for creating a Data Warehouse using SQL Server (SSIS and SSMS). Geospatial model for analyzing crime rates, socioeconomic and demographic measures in Portugal.
Language:Visual Basic0 1 00
TwitterMiner
Collect and process public data from Twitter.
Language:Python0 2 03

marcelmotta/IMSports-ETL
ETL process for creating a Data Warehouse using SQL Server (SSIS and SSMS). Project based on the AdventureWorks dataset.
Language:PLSQL21 5 16
marcelmotta/ChelseaTweets-ETL
ETL with Hive and Spark, by using Cloudera's distribution. Project based on the Chelsea Bombing Twitter dataset.
Language:Jupyter Notebook1 1 02
marcelmotta/CVClassification
Document classification pipeline for evaluating CVs.
Language:Python1 2 02
marcelmotta/lx_floods
Machine Learning model for flood prediction using weather station data
Language:Python1 2 00
marcelmotta/Sim4Sec
ETL process for creating a Data Warehouse using SQL Server (SSIS and SSMS). Geospatial model for analyzing crime rates, socioeconomic and demographic measures in Portugal.
Language:Visual Basic0 1 00
marcelmotta/TwitterMiner
Collect and process public data from Twitter.
Language:Python0 2 03