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Anyin Nava has a diverse work experience in the field of data analysis and statistics. They have worked as a Statistical data analyst at the International Maize and Wheat Improvement Center (CIMMYT) from January 2018 to December 2018. In this role, they conducted hypothesis tests, performed multiple linear regression analysis, and utilized logistic and multinomial regression for classification purposes.

After that, they joined NielsenIQ in September 2021 as a Statistician. Their responsibilities involved employing clustering techniques such as k-means and hierarchical clustering for store grouping. They also utilized PCA to reduce dimensionality and constructed time series models for sales predictions using Python.

Most recently, Anyin Nava became a Machine Learning Consultant at Enhance IT in April 2022. Their tasks included exploratory data analysis, data visualization using statistical methods with Python and R. They also engaged in ETL processes, specifically data extraction from S3 bucket (AWS), data transformation, and validation using Pyspark in Google Colab. Additionally, they constructed, trained, and tested various models like XGBoost, neural network models, KNN, logistic regression, and multinomial regression to select the most robust model for production.

Overall, Anyin Nava's work experience showcases their proficiency in statistical analysis, machine learning, and data manipulation.

Anyin Nava completed a Master's degree in Statistic and probability from Colegio de Postgraduados from 2019 to 2021. Prior to that, from 2013 to 2017, they earned a Bachelor's degree in economics from Universidad Autónoma Chapingo, specializing in Econometrics and quantitative economics.