David Macro

David Macro Email and Phone Number

Head of Data Science @ DataIM
Hoofddorp, NH, NL
David Macro's Location
Hoofddorp, North Holland, Netherlands, Netherlands
David Macro's Contact Details

David Macro work email

David Macro personal email

About David Macro

David Macro is a Head of Data Science at DataIM. He possess expertise in statistics, spss, sociology, social sciences, research and 35 more skills. He is proficient in English.

David Macro's Current Company Details
DataIM

Dataim

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Head of Data Science
Hoofddorp, NH, NL
Website:
dataim.nl
Employees:
13
David Macro Work Experience Details
  • Dataim
    Head Of Data Science
    Dataim
    Hoofddorp, Nh, Nl
  • Dataim
    Senior Technical Project Manager
    Dataim Aug 2018 - Present
    Amsterdam Area, Netherlands
  • Wetenschappelijk Onderzoek- En Documentatiecentrum (Wodc)
    Researcher
    Wetenschappelijk Onderzoek- En Documentatiecentrum (Wodc) Jun 2017 - Aug 2018
    The Hague Area, Netherlands
    As a researcher at the Wetenschappelijk Onderzoek- en Documentatiecentrum, I worked on various studies related to cybercrime and recidivism. Most notably, I participated in a project set to improve Dutch Cybercrime Statistics. For this we devised a supervised learning method in which various classifiers were trained on dossier data acquired from the Dutch National Police department. A distinctive characteristic of police registration data is that files contain - by definition -… Show more As a researcher at the Wetenschappelijk Onderzoek- en Documentatiecentrum, I worked on various studies related to cybercrime and recidivism. Most notably, I participated in a project set to improve Dutch Cybercrime Statistics. For this we devised a supervised learning method in which various classifiers were trained on dossier data acquired from the Dutch National Police department. A distinctive characteristic of police registration data is that files contain - by definition - many different types of information, including structured forms and raw reports. Part of my task was to invent, validate and document the data handling procedures required to process the vast quantities of unstructured dossiers and create rich feature sets, suitable for supervised learning. To achieve this, I created a novel module for R that used a range of linguistic characteristics to construct meaningful features. Furthermore, I co-authored the final report of the study:https://www.wodc.nl/onderzoeksdatabase/2849b-textmining-in-politieregistraties-op-zoek-naar-jeugdige-verdachten-van-cyber-en-gedigitaliseerde-criminaliteit-een-pilot-bij-de-mjc-2017.aspx Show less
  • Universiteit Utrecht
    Researcher
    Universiteit Utrecht Sep 2012 - Mar 2017
    Utrecht Area, Netherlands
    From 2012 through 2017 I worked as a teacher and researcher at Utrecht University. As a teacher, I assisted in various graduate courses in Advanced Methods and Statistics (OLS, Factor Analysis, SEM, and their non-linear generalizations). As a researcher, I worked on a study that aimed to generalize dyadic utility models of social motives to larger groups, and to test these models in controlled, incentivized economic experiments. The study integrated insights from behavioral… Show more From 2012 through 2017 I worked as a teacher and researcher at Utrecht University. As a teacher, I assisted in various graduate courses in Advanced Methods and Statistics (OLS, Factor Analysis, SEM, and their non-linear generalizations). As a researcher, I worked on a study that aimed to generalize dyadic utility models of social motives to larger groups, and to test these models in controlled, incentivized economic experiments. The study integrated insights from behavioral economics, social psychology and sociology, applying rigorous model building techniques and novel Bayesian Inferential procedures. The experiments have been completed, and I am currently in the process of writing-up the results in the form of a PhD thesis.------------------------------------------------------------------------------------------------------------------------------------------The main findings so far have been that: (1) Existing dyadic models of social motives need augmenting to adequately explain the behavior of subjects in multiplayer DGs. The evidence suggests that apart from previously identified motives, subjects show a distinct motive regarding the inequality between others. (2) Social-motives scale with group-size in a non-linear manner. As group-size increases, motives become more relevant, but for large groups, their strength ultimately drops to zero. Explorative analysis showed that group-size also affected the decision-making process. (3) Social motives can be measured reliably and validly via our experimental procedure. A special class of Bayesian Mixed IRT-models was fitted on our data, and results showed that our experimental procedure could produce precise estimates of social motives. Furthermore, estimates correlated with measures of empathy, psychopathy in a manner that was expected; overall, this indicates good construct validity. Show less
  • Universiteit Van Amsterdam
    Student Assistent / Junior Teacher
    Universiteit Van Amsterdam Jan 2010 - Aug 2012
    Amsterdam Area, Netherlands
    As a junior teacher I assisted in various courses in the Bachelor of the Sociology Department of the University of Amsterdam.The courses I taught include: - Introductory / Intermediary / Advanced Methods, Statistics and SPSS - Mixed Methods Research - Labor and Organization Sociology - Sociology of Institutions and OrganizationsFurthermore, I assisted in various projects, such as: - Developing and deploying websurveys for various purposes, such as… Show more As a junior teacher I assisted in various courses in the Bachelor of the Sociology Department of the University of Amsterdam.The courses I taught include: - Introductory / Intermediary / Advanced Methods, Statistics and SPSS - Mixed Methods Research - Labor and Organization Sociology - Sociology of Institutions and OrganizationsFurthermore, I assisted in various projects, such as: - Developing and deploying websurveys for various purposes, such as Bachelor, Master and PhD research projects, and internal evaluation surveys. - Developing offline and online teaching materials for the Statistics and Methods courses. Show less
  • Dataim
    Junior Survey-Manager And Web-Developer
    Dataim Apr 2006 - Aug 2009
    Amsterdam Area, Netherlands
    As a junior survey manager, I programmed only surveys for many customers. The job involved the use of various programming, database and scripting languages, including ASP#NET, C#, SQL, Javascript and jQuery.

David Macro Skills

Statistics Spss Sociology Social Sciences Research Survey Research Qualitative Research Data Analysis Social Network Analysis Stata University Teaching Social Research R Quantitative Research Teaching Statistics English Online Survey Design Sql Methodology Jquery Php Dutch Multivariate Statistics Microsoft Excel Blackboard Lecturing Social Media Science Analysis Academic Writing Higher Education Programming Latex Theory Microsoft Office Psychology Linux Project Management Big Data Big Data Analytics

David Macro Education Details

Frequently Asked Questions about David Macro

What company does David Macro work for?

David Macro works for Dataim

What is David Macro's role at the current company?

David Macro's current role is Head of Data Science.

What is David Macro's email address?

David Macro's email address is da****@****ail.com

What schools did David Macro attend?

David Macro attended Universiteit Van Amsterdam, Erasmus Universiteit Rotterdam, Essex Summerschool In Social Science Data Analysis, Christelijke Scholengemeenschap Buitenveldert.

What skills is David Macro known for?

David Macro has skills like Statistics, Spss, Sociology, Social Sciences, Research, Survey Research, Qualitative Research, Data Analysis, Social Network Analysis, Stata, University Teaching, Social Research.

Who are David Macro's colleagues?

David Macro's colleagues are Bas Te Boekhorst, Sanne Klaver, Michiel Heilijgers, Isabelle Van Hoorn, Adrià Ferrer Castro, Test Account, Test Account 2.

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