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Here is a summary of projects i have done for previous jobs, grouped by subject

Natural Language Processing

  • Classification model of digital news for national newspaper company, through feature engineering evaluating grammar rules and styles of writing using part of speech tagging and regular expressions.

  • Creation of use cases tags applying regular expressions and context knowledge for digital whiteboard company, taking as input titles of canvas files. 

  • Topic modeling, word clouds, lemmatization for several exploratory data analysis and visualization deliverables.

Predictive Modeling

  • Model to assign probability of customer churn according to product usage.

  • Natural Language Processing and transfer learning to create a book genre classification system based on their titles and content description (written in spanish), for a company of book delivery.

  • User segmentation with behavioral variables and usage data extracted from open databases, experiments, observations and surveys to provide strategies to public transportation system company.

Ad hoc Analysis 

  • Creation of score to classify canvas usage according to product behavior into synchronous and asynchronous, for digital whiteboard company.

  • Analysis to find frontend and backend events related with low Frames Per Second (FPS) performance in product.

  • Analysis of Net Promoter Score (NPS) to find variables related with changes and to track feedback of users.

  • Analysis of features in beta and post-launch stages to provide insights related with user adoption.

Visualization

  • Graphs for data exploration and visualization of results through Python packages like pyplot, seaborn and matplotlib.

  • Dashboards for stakeholders in Periscope Sisense and Tableau.

Automation/ETL

  • Data availability processes through Airflow (DAGs) and AWS (S3 for parquet storage, Glue crawlers).

  • Creation of automated reports in google sheets (BigQuery integration) and Microsoft Excel (macros in VBA).

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