Mario Becerra


This is an online version of my education, skills and work experience. You can find a shorter PDF version here.

My main interests are statistical modeling, predictive analytics, data visualization and machine learning.


Statistics: Generalized Linear Models, Bayesian statistics, principal component analysis (PCA), spatial statistics, Bayesian networks, clustering, hierarchical/multilevel modeling, A/B testing

Machine Learning: Random Forest, neural networks, support vector machines, recommender systems, market basket analysis, association rules, artificial neural networks, deep learning, convolutional neural networks, recurrent neural networks

Finance: Interest rates, financial derivatives, fixed income products, structured finance, VaR

Programming: R, C++, C, Java, MATLAB, SQL, Python, LaTeX, Bash

Other technologies: Apache Spark, Apache Hadoop, Apache Hive, Keras, Tensorflow

Other: Data mining, Natural Language Processing, image processing, text mining, linear programming


Computer Science MSc: 2016 - 2017

Relevant coursework:

Note: Took around 70% of the courses in the Data Science master’s program at ITAM.

Applied Mathematics BSc: 2010 - 2015

Relevant coursework:

Thesis: Implementation of a recommender system based on matrix factorization and stochastic gradient descent. You can find the code here and the final PDF (in Spanish) here.

Work experience

September 2017 - Present day

Data scientist at Business Data Evolution.

Statistical modeling and predictive analysis in data science consulting company.

May 2016 - June 2017

Data scientist at CAD Salud.

Created predictive and inferential statistical models, as well as data visualization dashboards for data projects aimed toward health problems.

October 2015 - May 2016

Data scientist at MetronHomo, Grupo Salinas.

Designed and built statistical/machine learning models for predictive and inferential analysis, and created data visualization dashboards for market research consulting.

June 2015 – August 2015

Junior Analyst at Revenue Management, Best Day.

Summer project involving customer analysis and market segmentation using association rule learning (market basket analysis).

June 2014 – June 2015

Data analyst at Computer Research and Analysis Laboratory, ITAM.

Machine learning application in Natural Language Processing for automation in news classification for media monitoring company.

December 2013 – June 2014

Intern at Global Banking and Markets, HSBC.

Financial products pricing, financial products analysis, Excel spreadsheets creation for statistical analysis.


Spanish: Native

English: Native-like competence and accent

French: Basic