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Janika Smirnov

https://www.etis.ee/CV/Janika_Smirnov/eng
25.04.1990
smirnov@ut.ee

Career

Institutions and positions
01.06.2016–23.09.2016   
STACC , Junior Researcher (1,00)
01.02.2016–31.05.2016   
STACC , Junior Researcher (0,80)
06.11.2015–31.01.2016   
STACC , Junior Researcher (0,20)
01.07.2015–25.09.2015   
KPMG Baltics AS, Senior, Audit (1,00)
01.01.2015–30.06.2015   
KPMG Baltics AS, Senior, Audit (0,80)
01.10.2014–31.12.2014   
KPMG Baltics AS, Senior Assistant, Audit (0,50)
27.08.2012–30.09.2014   
KPMG Baltics AS, Assistant, Audit (1,00)
 
 
Education
01.09.2014–21.06.2016   
MSc, University of Tartu, Financial and Actuarial Mathematics
31.08.2009–29.06.2012   
BSc, University of Tartu, Mathematical Statistics, cum laude

Qualifications

Academic degrees
Janika Smirnov, Master's Degree, 2016, (sup) Imbi Traat; Peep Küngas, Modelling Late Invoice Payment Times Using Survival Analysis and Random Forests Techniques, University of Tartu, Faculty of Science and Technology, Institute of Mathematics and Statistics.
 
 
Fields of research
ETIS CLASSIFICATION: 4. Natural Sciences and Engineering; 4.5. Statistics; CERCS CLASSIFICATION: P160 Statistics, operation research, programming, actuarial mathematics
5.04.2018

Janika Smirnov

https://www.etis.ee/CV/Janika_Smirnov/est
25.04.1990
smirnov@ut.ee

Teenistuskäik

Töökohad ja ametid
01.06.2016–23.09.2016   
STACC OÜ, Nooremteadur (1,00)
01.02.2016–31.05.2016   
STACC OÜ, Nooremteadur (0,80)
06.11.2015–31.01.2016   
STACC OÜ, Nooremteadur (0,20)
01.07.2015–25.09.2015   
KPMG Baltics AS, Senior, Audit (1,00)
01.01.2015–30.06.2015   
KPMG Baltics AS, Senior, Audit (0,80)
01.10.2014–31.12.2014   
KPMG Baltics AS, Senior Assistant, Audit (0,50)
27.08.2012–30.09.2014   
KPMG Baltics AS, Assistant, Audit (1,00)
 
 
Haridustee
01.09.2014–21.06.2016   
MSc, Tartu Ülikool, Finants- ja kindlustusmatemaatika
31.08.2009–29.06.2012   
BSc, Tartu Ülikool, Matemaatilise statistika, cum laude

Kvalifikatsioon

Teaduskraadid
Janika Smirnov, Master's Degree, 2016, (sup) Imbi Traat; Peep Küngas, Modelling Late Invoice Payment Times Using Survival Analysis and Random Forests Techniques, University of Tartu, Faculty of Science and Technology, Institute of Mathematics and Statistics.
 
 
Teadustöö põhisuunad
ETIS KLASSIFIKAATOR: 4. Loodusteadused ja tehnika; 4.5. Statistika; CERCS KLASSIFIKAATOR: P160 Statistika, operatsioonanalüüs, programmeerimine, finants- ja kindlustusmatemaatika
5.04.2018