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$10 USD / ora
Bandiera: AUSTRIA
linz, austria
$10 USD / ora
Attualmente sono le 10:07 AM qui
Registrato il novembre 5, 2017
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Artem K.

@artemkochnev

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$10 USD / ora
Bandiera: AUSTRIA
linz, austria
$10 USD / ora
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Tasso di riassunzione

Trained economist, currently enrolled as a PhD in Linz

Technical skills: - Extract insights from data using econometrical tools: show you nice plots with correlations, torture your data until it confesses. Instruments include the old good (but rarely working) OLS lobotomy, fancy (but still never working) logit-style amputations, analyst-appealing (and sometimes working) fixed-effects surgery and neurosurgery using quasi-experimental methods. Disclaimer: please be aware of side effects in case of finite samples, SUTVA violations, nonmonotonicity and bad quasi-randomization procedures - Programming: scrap web with Python, process texts as bag-of-words with NLTK, can tell computers to solve systems of linear ODEs in Mathematica - Can help texts reach audience in Russian, English and German. My writing style is like a peasant's axe. One cannot make a masterpiece but it is enough to cut almost anything you need. - Have a black belt in working with ArcGIS and QGIS. Help to automate operations but do not hesitate to do the dirty manual work.
Freelancer Statisticians Austria
Vedi tutti i Statisticians in Austria

Contatta Artem K. per il tuo lavoro

Accedi per discutere i dettagli via chat.

Portfolio

3961580
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
3961580
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence
An example of how one can digitize a historical map using a georeferencing. Input: 1 raster image Output: 1 shapefile polygon of boundaries, 1 shapefile of cities Tools used: QGIS Time spend: 1 hour Detailed description with a tutorial: https://3slash4.wordpress.com/2018/02/06/digitizing-the-renaissance-italy-provinces/
Digitizing Borders and Cities of the Renaissance Florence

Valutazioni

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Esperienza

Research Assistant

Vienna Insitute for International Economic Studies
apr 2016 - lug 2016 (3 mesi, 1 giorno)
- Searched quantitative assessments of the DCFTA impact on the economies; contacted with EU DG on trade on the legal details of the Association Agreements;- Converted annexes with the dynamics of the customs' rates into a database; - Monitored DCFTA implementation; - Searched and compiled economic statistics of Abkhazia, Nagorno-Karabakh, Transnistria, Donetsk- and Lugansk regions of Ukraine; - Selected and analyzed literature on the economics of conflicts;

Internship: Consulting Assisstant

EY
giu 2015 - lug 2015 (1 mese, 1 giorno)
- Audited financial models - Analyzed changes in interest rates of german sovereign bonds - Provided macroeconomic analysis for an East-Balkan country - Searched peer firms for CAPM analysis - Verified expected profitabilities for gas projects and telecommunication companies

Formazione

Master of Science in Management and Applied Economics

Johannes Kepler Universität Linz, Austria 2014 - 2016
(2 anni)

Bachelor of Science in Economics

Gosudarstvennyj Universitet - Vysšaja Škola Ekonomiki, Russian Federation 2009 - 2013
(4 anni)

Certificati

TestDaF

TestDaF Institut
2010
Evaluates knowledge of possessing German similar to TOEFL and IELTS methodologies. 18/20 (points)

Contatta Artem K. per il tuo lavoro

Accedi per discutere i dettagli via chat.

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Competenze principali

Statistics
Natural Language
Data Mining
Geospatial
Statistical Analysis

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