Nicolás Della Penna
Machine Learning & Economics
- Location
- London, United Kingdom
- Industry
- Information Technology and Services
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Nicolás Della Penna's Overview
- Current
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- Data Analyst at Independent Contractor
- Education
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- The Australian National University
- The University of British Columbia
- Recommendations
-
1 person has recommended Nicolás
- Connections
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106 connections
- Websites
Nicolás Della Penna's Summary
To apply the tools of Machine Learning and Economics to the analysis of internet mediated human behaviour. Designed and built large scale log processing infrastructure, personalised recommendation engines, influence measures for social networks, natural language processing applications, and behavioural pay walls. Clients have included startups such as Twitter, Viewsflow and MetaMarkets, publicly traded corporations (UBM), as well as design consultancies such as BERG.
Specialties
Machine Learning, Natural Language Processing, behavioral modelling, data analysis, applied economics.
Nicolás Della Penna's Experience
Data Analyst
Independent Contractor
September 2007 – Present (5 years 10 months)
Working with clients to apply the tools of Machine Learning and Economics to the analysis of internet mediated human behaviour. Designed and built large scale log processing infrastructure, personalised recommendation engines, influence measures for social networks, natural language processing applications, and behavioural pay walls. Clients have included startups such as Twitter, Viewsflow and MetaMarkets, publicly traded corporations (UBM), as well as design consultancies such as BERG.
Nicolás Della Penna's Languages
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Spanish
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Portuguese
Nicolás Della Penna's Skills & Expertise
Nicolás Della Penna's Education
The Australian National University
Doctor of Philosophy (PhD), Machine Learning
2011 – 2014 (expected)
The University of British Columbia
B.A. (hons), Economics
2003 – 2007
First class average.
Thesis Title: Relative Income in Adolescence and Adult Outcomes. Supervisor: Siwan Anderson. Estimated material and status effects of parental income by exploiting variation in the shape of income distributions between school districts (material income of the school) and classes within a school district (relative status of the student).
Nicolás Della Penna's Additional Information
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