Academic Director Data Science Bootcamps



Iván Martín is the Chief Technology Officer of BINFLUENCER, a data driven company leveraging the power of machine learning techniques to detect the most influential people in any sized market globally. He is an Ex-McKinsey Data Scientist, software engineer specialized in Artificial Intelligence and has a master degree in Business Analytics and Big Data by the IE Business School where he currently holds the position of Academic Director of the Data Science Bootcamp and instructs Machine Learning classes.

Previous industry experiences include (not exhaustive):
- Advanced Analytics deep dive in clients’ databases to detect and address commercial and technical leakage on an international European bank.
- Advanced Analytics modelling of client behaviors to identify and prevent churn for a European Bank.
- Advanced Analytics modelling of broadband and TV usage of clients in order to predict churn, downgrade and opportunities to cross sale for a European Telecommunications company.


 11:40 - 12:30 (04/10/2018)

 ROOM N102

(ROOM N102) C.S 1.5. Understanding Machine Learning: Introduction to regression, classification and clustering. Powered by IE BUSINESS SCHOOL

IE Business School

Machine Learning opens the door to a new world of possibilities in many industries where the availability of data is only increasing. Understanding the basics of this new techniques is a must for most decision-making roles now a days. Being able to transform years of experience in an industry into predictive models, which can support the decision-making process, gives an unprecedented competitive advantage to all players.

During this session we will review 3 of the most common techniques in order to be able to communicate with data professionals at an introductory level and agree on the kind of algorithm that should be used for a specific business challenge.       


 15:50 - 16:40 (04/10/2018)

 ROOM N102

(ROOM N102) C.S 3.5. Introduction to Artificial Neural Networks through R. Powered by IE BUSINESS SCHOOL

IE Business School

Artificial Neural Networks (ANN) are computational models inspired in the way biological neural networks work in the human brain. These Machine Learning models have obtained a lot of popularity in the last few years due to their capacity to detect complex patterns in vast amounts of data. Research in this field has lead to many breakthroughs in the fields of Computer Vision, text processing and speech recognition.

During this session we will demystify the way these ANN work by looking into the way artificial neurons work and the way they can be adjusted in order to predict the desired outcome. There is no previous knowledge required and every attendee will feel empowered to further investigate into this field in order to apply it to their specific challenges.







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