Maria Teresa Ortiz

Data Scientist & Lecturer

I am a data analyst with experience in marketing research and ecology. I currently work at Kantar doing analytics and development with R. Before that, I worked at CONABIO (Mexico’s National Commission of Biodiversity) doing statistical analysis related to biodiversity.

I have participated in three Mexican Electoral Quickcounts, in 2021 as Technical Committee Member, in 2018 and 2022 as Technical Committee Collaborator.

I also enjoy teaching. I teach statistics courses to master students in Data Science and to bachelor/undergraduate students in Mathematics and Actuarial Sciences at ITAM.

Lastly, I ❤️ R, I am co-organizer of R-Ladies CDMX. I volunteer with the Mexican Community of Bioinformatics Software Developers CDSB teaching R. And I deliver custom R training (introduction to R, survey data analysis in R, data science with R,…).

Interests

Data analysis
Statistical modeling (hierarchical models, spatial statistics, Bayesian networks)
Survey design and Survey data analysis
Machine Learning
Data visualization

Education

MA Statistics, 2013

University of Michigan
Summer Program for Survey Statisticians, 2013

University of Michigan
BSc in Applied Mathematics, 2009

ITAM

Lately

Talks / Workshops

Electoral forecasts with R (Spanish)

We share our experience working with R to forecast election results. In particular we highlight the importance of following good …

Nov 10, 2021 10:00 AM Remote

Maria Teresa Ortiz, Michelle Anzarut, Felipe González

Code Slides Video

A Bayesian Multilevel Model for the Mexican quick-count (Spanish)

We explain the model we used for the 2021 Mexican electoral quick-count. We share the Bayesian workflow we followed for development and …

Sep 22, 2021 11:30 AM Remote

Maria Teresa Ortiz, Michelle Anzarut, Felipe González, Ixchel Meza

Code Slides

A Bayesian Multilevel Model for the Mexican quick-count (Spanish)

Data Science in Democracy (Spanish)

We discuss the challenges on the Mexican Electoral quick-count, and how our team worked to tackle them.

Sep 3, 2021 4:00 PM Remote

Maria Teresa Ortiz, Michelle Anzarut, Felipe González, Ixchel Meza

Code Slides

See all talks

COURSES

Foundations of Statistics (Spanish)

I teach a course in Foundations of Statistics for the master program in Data Science at ITAM. Felipe González and I developed the syllabus and we created the class notes along Alfredo Garbuno. Here is the latest course site and here is the GitHub repository with the class notes.

Computational Statistics (Spanish)

I teach a course in Computational Statistics for the master programs in Data Science and in Computer Science at ITAM. Felipe González and I developed the syllabus and I developed (and yearly update) the class notes. Here is the latest course site and here is the GitHub repository with the class notes.

Multivariate Statistics (Spanish)

In 2014 and 2015, I taught a course in Multivariate Statistics (covering Bayesian Networks, Markov Random Fields HMMs, hierarchical models,..) for the master program in Data Science at ITAM. Felipe González and I developed the syllabus and the class notes. I am in the process of updating the course resources, here is the course site and here is a Github repository with class notes.

Introduction to R for data analysis (Spanish)

Notes for a 2-3 day introductory workshop to R for data analysis. Here is the latest workshop site and here is the GitHub repository. I have taught this workshop (sometimes as part of a larger program) at RMB, ITAM, CONABIO, SAI, OXFAM Mexico, GNP and COLMEX.

Exploratory Data Analysis and Survey Sampling (Spanish)

I taught a course in Exploratory Data Analysis and Survey Sampling for bachelors in Mathematics and Actuarial Sciences at ITAM. I am in the process of uploading the material (developed by Felipe Gonzalez).