1. No category

PETR NOVIKOV
+7 (960) 050 4783 | peternovikov@yandex.ru | pnoviko@Skype
novikov.amikeco.ru | linkedin.com/pub/petr-novikov
Objective: Data Scientist/Software Engineer
Education
PhD in Statistics, Moscow State University (2010)
Drop-out, University of Toledo (Ohio, USA) (2008)
Integrated MSc in Mathematics, Kazan State University (2000–2005)
02.2015–present
Employment History
Kazan Federal University
Higher School for Information Technologies and Information Systems
Assistant
Kazan, Russia
Teaching classes of R Programming and Analytic Geometry
04.2013–10.2014
Applied Logistics R&D
Research Analyst
Moscow, Russia
Applied research work, Reliability Theory and Operations Research
Software engineering (MSVC and Delphi)
09.2012–01.2013
RoboCV
Research Programmer
Moscow, Russia
Software engineering and technical writing in the fields of Robotics and Computer Vision
09.2011–present
Izvestiya Vuzov – Mathematics Journal
Translator
Kazan, Russia
(Remote work)
Translation of scientific articles from Russian into English
01.2010–09.2011
Kazan State University
Faculty of Mechanics and Mathematics
Engineer
Kazan, Russia
Theoretical research in Statistics, teaching class of Information Retrieval
01.2008–12.2008
University of Toledo
Teaching Assistant
Toledo, OH, USA
Tutoring, grading, teaching class of Statistics I
10.2005–03.2013
Private tutor (Self-employed)
Teaching high school-level Mathematics, Physics and Computer Science
Kazan, Russia /
Moscow, Russia
Key Professional Skills
Statistics, Data Mining, Operations Research, Mathematical Modeling, Mathematical Optimization,
Programming, Technical Writing, Translation, Teaching
Mathematics and Data Science Tools
R, Scikit-learn, Mathematica
Programming Languages
R, Python, Delphi, C, C++ (MS Visual Studio, Qt)
Language Skills
Russian (native), English (fluent), Spanish (intermediate), Chinese (elementary)
Projects
04.2014–09.2014
Applied Logistics
ILS Suite / Weibull Analysis
08.2013–12.2013
Applied Logistics
Best Stock for Branching Supply Chain
A subroutine for performing parameter estimation of Weibull distribution and Kolmogorov–
Smirnov goodness-of-fit test, part of a larger project.
Finds best stock for a geographically distributed supply chain in the sense of providing
minimal cost while keeping the overall availability ratio above a pre-defined value.
Microsoft
Visual C++ 9.0
Borland Delphi
Scheduling of Aircraft Maintenance Jobs
04.2013–05.2013
Applied Logistics
A computer adaption of Petrov & Tomich’s paper1: a maintenance scheduling problem is
considered as a constrained optimization problem with respect to service intervals. I
implemented the numerical solution of this optimization problem.
1
Research and development of determining of rational service intervals of functional
systems of an aircraft. Trudy LII No. 524, 1987. (Russian).
Borland Delphi
09.2012–12.2012
RoboCV
Autonomous Navigation System
ROS/C++
Linux Ubuntu
I was in the team of software developers of an autonomous navigation system for robotic
platforms. We combined data from gyroscope, odometer, accelerometer and infrared
camera to get a better approximation for the position of the robot. I also made a significant
contribution to the company’s Technical Report for the first stage of the investment.
Selected Teaching Experience
Spring 2015
R Programming
We covered the R programming language from scratch. In order to learn R’s capabilities, we
worked with real-life Kaggle.com’s data sets PAKDD2014 and Otto Group Product
Classification.
Spring 2010
Bioinformatics Algorithms
We followed Jones & Pevzner’s book An Introduction to Bioinformatics Algorithms.
Fall 2009,
Fall 2010








Information Retrieval
We covered common methods of Information Retrieval. As the course was designed for
hardcore math students, we emphasized the connection between state-of-the-art IR methods
and fundamental mathematics providing theoretical ground to these methods, such as Eckart–
Young theorem for Latent Semantic Analysis, theory of Markov chains for PageRank and KKT
for Support Vector Machines.
Kazan Federal
University,
High School ITIS
Kazan State University,
Faculty of CS
Kazan State University,
Faculty of Mechanics
and Mathematics
Publications
Novikov A.A., Novikov P.A. Locally most powerful sequential tests of a simple hypothesis vs. one-sided
alternatives for independent observations, Theory Probab. Appl., 56(3), 449-477, (2011).
Novikov P.A. A locally directionally maximin test for a multidimensional parameter with order-restricted
alternatives, Russian Mathematics (Iz. Vuz), 54(1), 33--41 (2011).
Novikov P.A. Locally most powerful sequential tests for discrete-time Markov processes, Theory Probab.
Appl., 55(2), 322--325 (2010).
Novikov A., Novikov P. Locally most powerful sequential tests of a simple hypothesis vs. one-sided
alternatives, J. Stat. Plann. Inference, 140(3), 750--765 (2010).
Conferences
Novikov P., Novikov A. Locally Most Powerful Group-Sequential Tests when the Groups are Formed
Randomly. Stochastic Optimization and Optimal Stopping, Moscow, Russia, September 24--28, 2012.
Novikov A., Novikov P. Locally Most Powerful Sequential Tests for One-Sided Alternatives Based on
Independent Observations. 58th World Statistics Congress of the International Statistical Institute (ISI), Dublin,
Ireland, August 21--26, 2011.
Novikov A., Novikov P. Locally most powerful sequential tests for discrete-time stochastic processes. Third
International Workshop in Sequential Methodologies, Stanford University, June 14--16, 2011.
Novikov P. Locally optimal tests for multivariate parameter with order-restricted alternatives. Prague
Stochastics 2006. Book of Abstracts of the joint session of 7th Prague Symposium on Asymptotic Statistics
and 15th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes,
held in Prague from August 21 to 25, 2006, P. 68 (2006).