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 …

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 …

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 …

COURSES

.js-id-notes

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).