Data scientist | machine learning | python | sql

Development of statistical models to predict Bernoulli events (two possible outcomes). 
Identify patterns, build models, test, and improve predictive algorithms that increase our understanding of customer trends and identify opportunities to improve our products and services.

Development of reports to monitor the performance of analytical models, including model stability as well as its stability of its variables.
Development of analytic solutions for marketing, credit risk and collections: generic scores, custom scores, collection models, propensity models, data visualization, analytic segmentation, model validation.

Work closely with the sales department to identify the client’s needs, make an impact and improve their business.

Development of a classification model to detect precarious workers in certain branches of the tourism industry.

Exploratory data analysis applying statistical concepts and visualizations, using the associated libraries in Python (Seaborn, Matplotlib, Boken, SciPy).
Use of Pandas to read, clean, parse and graph using boolean functions, indexing, series, joins and others.
Construction, implementation and evaluation of Machine Learning models through the Scikit Learn library.
Optimization of hyperparameters, application of regularization and feature selection.
Construction and evaluation of model assemblies using random forests, bagging and boosting variants.
Separation of the dataset in train, validation and test, for the optimization of hyperparameters and subsequent validation of the model.
Model evaluation, ROC curves, and Accuracy metrics.
Data extraction applying Web Scraping techniques.
Deploy models via Flask.

Project carried out within the framework of Digital House.

Achievements
Implementation of prediction models that allowed to improve collections by 30% in 1 year.
Reduction of bad debts by 100% in 1 year.

Responsibilities
Create classification models to detect and prevent fraud.
Manage the credit and collections function of the hotel.
Monitor and develop the performance of team members by providing support, supervision, and conducting evaluations.
Recruit, interview and train team members.

Assistant Professor, Research Methodology III

Data Engineering with GCP

Machine Learning course

Degree in Artificial Intelligence

Artificial Intelligence course

Business Intelligence, Data Modelling/Warehousing and database administration

Master’s degree in generation and analysis of statistical information

Specialization in statistics applied to the social sciences

Bachelor of Sociology, Sociology