Maria Teresa Ortiz

Maria Teresa Ortiz

Data Scientist & Lecturer

Kantar

ITAM

I’m a data analyst with experience in marketing research and ecology. Currently, I’m working at Kantar, where I lead a team specializing in analytics and development using R. Before joining Kantar, I worked at CONABIO (Mexico’s National Commission of Biodiversity), where I conducted statistical analysis related to biodiversity.

I have participated in four Mexican Electoral Quickcounts: as Technical Committee Member in 2021 and 2023, and as Technical Committee Collaborator in 2018 and 2022 .

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 – a community dedicated to promoting and supporting women in the R programming community. 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 quick-count, sample design and modelling.

We discuss the sample design and modeling tasks carried out by the Technical Committee of the Electoral Quick Count (INE). In …
Apr 27, 2023 11:00 AM IEEM, Toluca, Mexico
Maria Teresa Ortiz
Code Video
Electoral quick-count, sample design and modelling.

Model based and Design based Inference for the quick-count

In this talk we discussed Model based and Design based Inference for the Mexican electoral quick-count, the assumptions, advantages and …
Oct 13, 2022 4:00 PM University of Colima
Maria Teresa Ortiz, Felipe González, Michelle Anzarut
Code Video
Model based and Design based Inference for the quick-count

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
Electoral forecasts with R (Spanish)
See all talks

COURSES

.js-id-notes
Recent All

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.

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.