Talks

2020

Organizing AI Teams, Chief Data and Analytics Officer Mexico, October 22, 2020, Mexico City, [slides]
AI @Rappi 2020, Data Science for All, Bogota, Colombia, October 2, 2020, [slides][video]
Experiences Applying AI in a Marketplace, Peru Big Data Meetup, Lima, June 10, 2020
Understanding the Advances in AI, Chief Data and Analytics Officer LATAM, March 27, 2020, Miami, USA

Applying AI in the Industry, Colombia 4.0, November 18, 2019, [video]
AI @Rappi, Data Science for All, Bogota, Colombia, October 31, 2019, [slides]
Maximizing a churn campaign’s profitability with cost-sensitive Machine Learning, Scipy Latam, Bogota, Colombia, October 8-10, 2019 [slides]
Experiencias usando Inteligencia Artificial en un Marketplace, Meetup Data Science Colombia, Bogota, June 12, 2019 [slides]
The Democratization of Artificial Intelligence, Emerge Americas, April 30, 2019, Miami, USA.
Detection of Threats to IoT Devices using Scalable VPN-forwarded Honeypots, RSAConference, March 5-8, 2019, San Fransisco, USA [whitepaper]

DeepPhish: Simulating Malicious AI, Black Hat Europe, 2018, London, UK [paper][video]
CertHunter, IEEE APWG Symposium on Electronic Crime Research Europe (EUeCrime), 2018, Krakow, Poland. [paper]
DeepPhish: Simulating Malicious AI, IEEE APWG Symposium on Electronic Crime Research (eCrime), 2018, San Diego, USA. [paper][slides]
Creating Malicious AI, Emerge Americas, April 26, 2018, Miami, USA.
AI vs. AI: Can Predictive Models Stop the Tide of Hacker AI?, RSAConference, April 16-20, 2018, San Fransisco, USA [whitepaper] [slides]

Behind the Scenes in Building Data Products, APWG European Symposium on Electronic Crime Research (eCrime), Ocober 20, 2017, Porto, Portugal [Slides]
Behind the Scenes in Building Data Products, September 31, 2017, Luxembourg University.
Fraud Detection by Stacking Cost-Sensitive Decision Trees, Data Science for Cyber-Security Symposium, September 30, 2017, Imperial College London, UK. [paper] [Slides]
Classifying Phishing URLs Using Recurrent Neural Networks, Mind the Sec, September 9, 2017, Sao Paulo, Brasil.
Maximizing a churn campaign profitability with cost sensitive machine learning, Big Data Analytics Summit, August 26, 2017, Lima, Peru [paper] [slides]
Data Science: From Statistics to Machine Learning, National Statistics Symposium, August, 11, 2017, Medellin, Colombia.
Classifying Phishing URLs Using Recurrent Neural Networks, IEEE APWG Symposium on Electronic Crime Research (eCrime), May 25, 2017, Scottsdale, USA [paper] [slides]
Detecting Phishing using Deep Learning, Meetup Machine Learning and Data Science Bogota, April 19, 2017.
Tutorial – Practical Machine Learning with Python, Pycon.co, February 10, 2017, Bogota [Notebooks]
Demystifying Machine Learning, Pycon.co, February 10, 2017, Bogota [Notebook] [slides]

Fraud Data Science, Mexican Banking Association Summit, September 2, 2016, Mexico City [slides]
Modern Data Science, Big Data Summit, August 19, 2016, Lima, Peru [slides]
Applied Data Science, Meetup Machine Learning and Data Science Bogota, June 15, 2017.
Advanced Fraud Detection using Data Science, Analytics Forum Universidad de los Andes, April 4, 2016, Bogota, Colombia. [slides]
Example-Dependent Cost-Sensitive Fraud Detection using CostCla, PyCaribbean, Feb 21, 2016, Santo Domingo, Dominican Republic [slides]

Fraud Detection with Cost-Sensitive Predictive Analytics, Business Analytics in Finance and Industry, December 4, 2015, Santiago, Chile [slides]
Fraud Analytics, Big Data Science Bogota Meetup, September 24, 2015, [slides]
PhD Thesis: Example-Dependent Cost-Sensitive Classification, University of Luxembourg, September 15, 2015,[paper] [slides]
Example-Dependent Cost-Sensitive Credit Scoring using CostCla, PyData Berlin, May 30, 2015, Berlin, Germany [slides]
Ensembles of Example Dependent Cost-Sensitive Decision Trees, April 28, 2015, Luxembourg [paper] [slides]
Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?, DataScience Luxembourg Meetup, March 4, 2015, Luxembourg [webapp]

Fraud analytics: detección y prevención de fraudes en la era del big data, ASOBANCARIA – VIII Congreso de prevención del fraude, October 3, 2014, Bogota, Colombia [slides]
Maximizing a churn campaign’s profitability with cost sensitive predictive analytics, SAS Analitics Conference, June 4, 2014, Frankfurt, Germany [slides]
Example-Dependent Cost-Sensitive Credit Card Fraud Detection, March 21, 2014, Leuven, Belgium [slides]
Example-Dependent Cost-Sensitive Credit Scoring, DataScience Luxembourg Meetup, February 5, 2014, Luxembourg[slides]
Analytics – compitiendo en la era de la informacion, October, 2013, Bogota, Colombia [slides]
Data Analysis for Credit Card Fraud Detection, European Conference on Data Analysis, July 11, 2013, Luxembourg [slides]
Credit Card Fraud Detection: Why Theory Doesn’t Adjust to Practice, SAS Analytics Conference, June 2, 2013, London, UK [slides]
Advanced Analytics through the credit cycle, SAS Analytics Conference, October 20, 2011, Orlando, US [slides]