Part of the academic team of the Master of Data Science (MDS). I’m involved in the following courses:

• DSCI 551: Descriptive Statistics and Probability for Data Science
• DSCI 552: Statistical Inference and Computation I
• DSCI 553: Statistical Inference and Computation II
• DSCI 554: Experimentation and Causal Inference
• DSCI 562: Regression II
• DSCI 591: Capstone Project

Lecture, lab instructor, and/or mentor in the MDS for the following courses:

• DSCI 551: Descriptive Statistics and Probability for Data Science
• DSCI 552: Statistical Inference and Computation I
• DSCI 553: Statistical Inference and Computation II
• DSCI 554: Experimentation and Causal Inference
• DSCI 561: Regression I
• DSCI 562: Regression II
• DSCI 591: Capstone Project

The Social Good program is part of the Data Science Institute and runs annually every summer term. The program has interdisciplinary teams composed of undergraduate and graduate students, who partner with public organizations in Data Science related projects with a social impact.

The project was run in collaboration with the City of Surrey, BC. The main activities were focused on exploratory data analysis and modelling, which were targeted to assist policy decision makers in the implementation of the city’s electric vehicle strategy (more information can be found here).

This position was held in the Statistical Opportunity for Students (SOS) program and the Short Term Consulting Service (STCS):

• The SOS program is designed to help UBC graduate students formulate and understand the statistical matters involved in their research projects. This initiative is managed by the Applied Statistics and Data Science (ASDa) group at the Department of Statistics.
• The STCS is entirely run by graduate students of the Department of Statistics. This initiative is meant to provide professional statistical assistance to on and off-campus clients. Graduate consultants are completely in charge of these consulting projects.

Teaching-related activities include grading exams and/or projects, practicum design, and holding laboratories/office hours for the following undergraduate courses on a term-to-term basis:

• STAT 200: Elementary Statistics for Applications in Science
• STAT 251: Elementary Statistics for Engineering
• STAT 305: Introduction to Statistical Inference
• STAT 404: Design and Analysis of Experiments

• Part of the team who was in direct contact with every financial figure involved in the process of a mortgage portfolio management: trustees, development banking, common representatives, bondholders, and rating agencies. These portfolios back different mortgage-secured bonds in the Mexican securities market
• Reporting as well as statistical and database analysis required by these financial figures.

• Periodic control, monitoring, and statistical analysis of credit risk exposure in the bank’s portfolio.
• Global credit limits management and control regulation for State and Municipality Governments, and Common Risk Groups.
• Statistical credit risk reporting for the Risk Management Direction, Risk Policies Committee, and Board of Directors.