 Develop data science projects, with different tools (Dataiku, Power BI) and languages (Python, SQL, R), using different methodologies (TDSP, CRISP-DM). Collaborate and lead data science projects, at different stages of the process (Business understanding, Data acquisition and understanding, Modeling, Deployment, Customer acceptance. Use of tools and language libraries for data analysis. Data cleaning, data quality analysis, statistical analysis, data transformation, and visualization of results in different tools (Dataiku, Power BI) and languages (Python and R). Preparation, tuning and use of machine learning models (prediction, classification, clustering, time series forecasting, anomaly detection or recommendation), using Python language and other technologies like Dataiku, Azure Machine Learning Tools or Amazon SageMaker. Using Pyspark or Dask for projects with a distributed environment. Carry out requirements understanding sessions with clients and users, as well as those interested in the created systems. Natural Language Processing projects with different methodologies and objectives, such as word embeddings for text classification and named entity recognition.

Professor of Economics and Finance, Anáhuac Mayab University of Mérida, México, 2020-2021.

Profesor en Universidad Interamericana para el Desarrollo (UNID). Materias impartidas en las licenciaturas de Contabilidad y Finanzas, y Administración y Dirección Empresarial: Microeconomía, Macroeconomía y Macro ambiente de Negocios Internacionales.

Profesor en la Facultad de Economía, Universidad Autónoma de San Luis Potosí. Materia: Macroeconomía III, para estudiantes de la Licenciatura en Economía.