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UPD spring 2021
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@stdereka
stdereka committed Apr 16, 2021
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41 changes: 22 additions & 19 deletions two_column_cv_en/mmayer.tex
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%% not need to align the top of the contents to any
%% \cvsection title in the "main" bar.

\cvsection[page1sidebar]{Education}

\cvsection[page1sidebar]{Work experience}
\cvevent{Assistant Engineer}{\href{https://research.samsung.com/srr}{Samsung R\&D Institute Russia}}{Jun 18 -- Sep 18}{Moscow, Russia}
\cvevent{BSc in Applied Mathematics and Physics}{\href{https::/mipt.ru/en}{Moscow Institute of Physics and Technology}}{August 2016 -- June 2021}{}
\begin{itemize}
\item Made contribution to a deep learning photo enhancer algorithm development task (on MXNet framework, Python/C++)
\item Improved model architecture and enhancement quality
\item Made a presentation of the results to company managers
\item Relevant subjects: \\
\underline{Mathematics:} probability theory and statistics, linear algebra, computational mathematics, calculus, complex analysis, differential equations, analytic geometry\\
\underline{Computer Science}: data structures, graph theory and algorithms, data processing in experimental physics, object oriented programming (C++, Java, Python)\\
\underline{Physics:} general physics, analytical mechanics, field theory, quantum mechanics\\
% \underline{Chemistry:} organic and inorganic, analytical chemistry, physical chemistry\\
\item Average grade: 8.5/10.0. Top 10\% of the department
%\smallskip
\end{itemize}

\cvsection{Work experience}

\cvevent{Researcher}{{\href{https://machine-intelligence.ru/about}{Machine Intelligence Laboratory} (\href{https://mipt.ru/english}{MIPT})}}{Oct 20 -- present}{Moscow, Russia}
\begin{itemize}
\item Work on dataset optimization problem for face recognition algorithms
\item Responsibilities: conducting ML experiments, code review, communication with customers
\end{itemize}

\divider

\cvevent{Junior Data Scientist}{{Department of Radioelectronics and Applied Informatics (\href{https://mipt.ru/en}{MIPT})}}{Oct 18 -- Aug 19}{Moscow, Russia}
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\item Conducted ML experiments and managed data processing pipeline with DVC
\end{itemize}



\cvsection{Projects \& competitions}

\cvevent{\href{https://www.kaggle.com/c/liverpool-ion-switching}{\underline{Liverpool Ion Switching}} kaggle competition}{{2nd place (out of 2500+, top 1\%)}}{Mar 20 -- Jun 20}{}
\begin{itemize}
\item Worked with time series/signal data
\item Proposed winning solution for identifying the number of ion channels open at each time point
\item \href{https://www.kaggle.com/c/liverpool-ion-switching/discussion/153991}{\underline{Blogpost.}} \href{https://github.com/stdereka/liverpool-ion-switching}{\underline{Full solution GitHub repository}}
\end{itemize}

\divider

\cvevent{Adaptive Importance Sampling in Monte-Carlo Population}{}{Mar 20 -- Jun 20}{}
\cvevent{Assistant Engineer}{\href{https://research.samsung.com/srr}{Samsung R\&D Institute Russia}}{Jun 18 -- Sep 18}{Moscow, Russia}
\begin{itemize}
\item Implemented an algorithm for variance reduction in Monte-Carlo integral estimation
\item \href{https://github.com/stdereka/MAP361P}{\underline{GitHub repository}}
\item Made contribution to a deep learning photo enhancer algorithm development task (on MXNet framework, Python/C++)
\item Improved model architecture and enhancement quality
\item Made a presentation of the results to company managers
\end{itemize}

%\cvsection{TECHNICAL SKILLS}
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55 changes: 29 additions & 26 deletions two_column_cv_en/page1sidebar.tex
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%!TEX root=mmayer.tex

\cvsection{Education}
\cvsection{Projects \& competitions}

\cvevent{BSc in Applied Mathematics and Physics}{\href{https::/mipt.ru/en}{Moscow Institute of Physics and Technology}}{August 2016 -- June 2021}{}
\cvevent{\href{https://www.kaggle.com/c/liverpool-ion-switching}{\underline{Liverpool Ion Switching}} kaggle competition}{{2nd place (out of 2500+, top 1\%)}}{Mar 20 -- Jun 20}{}
\begin{itemize}
\item Relevant subjects: \\
\underline{Mathematics:} probability theory and statistics, linear algebra, computational mathematics, calculus, complex analysis, differential equations, analytic geometry\\
\underline{Computer Science}: data structures, graph theory and algorithms, data processing in experimental physics, object oriented programming (C++, Java, Python)\\
\underline{Physics:} general physics, analytical mechanics, field theory, quantum mechanics\\
% \underline{Chemistry:} organic and inorganic, analytical chemistry, physical chemistry\\
\item Average grade: 8.58/10.00. Top 10\% of the university
%\smallskip
\item Worked with time series/signal data
\item Proposed winning solution for identifying the number of ion channels open at each time point
\item \href{https://www.kaggle.com/c/liverpool-ion-switching/discussion/153991}{\underline{Blogpost.}} \href{https://github.com/stdereka/liverpool-ion-switching}{\underline{Full solution GitHub repository}}
\end{itemize}

\divider

\cvevent{Adaptive Importance Sampling in Monte-Carlo Population}{}{Mar 20 -- Jun 20}{}
\begin{itemize}
\item Implemented an algorithm for variance reduction in Monte-Carlo integral estimation
\item \href{https://github.com/stdereka/MAP361P}{\underline{GitHub repository}}
\end{itemize}

\cvsection{Skills \& Abilities}
\begin{itemize}
\item Programming Languages: \\
Python, C++, Java
\item Linux terminal (Bash)
% \item Basic routine chemical methods: titration, pH measurement; electrical signal observing methods (CRO/DSO).
\item Python scientific stack:
numpy, matplotlib, scipy, pandas, jupyter-notebook. Several projects are on GitHub: \href{https://github.com/stdereka/calc\_math\_hometask}{\underline{numerical methods implementation},} \href{https://github.com/stdereka/PRM\_MIPT}{\underline{physical experiment data processing}}
\item ML packages and deep learning frameworks. Sklearn, Keras, MXNet, Pytorch, Xgboost, Lasagne,
Gensim
\item SQL. Basic knowledge
\item \LaTeX~system. Several projects are hosted on GitHub: \href{https://github.com/stdereka/yavor\_curse}{\underline{coursework report}}
\item Frontend development. HTML, CSS, JavaScript stack. Basic knowledge
\end{itemize}


\cvsection{Courses}

\begin{itemize}
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\end{itemize}



\cvsection{Skills \& Abilities}
\begin{itemize}
\item Programming Languages: \\
Python, C++, Java
\item Linux terminal (Bash)
% \item Basic routine chemical methods: titration, pH measurement; electrical signal observing methods (CRO/DSO).
\item Python scientific stack:
numpy, matplotlib, scipy, pandas, jupyter-notebook. Several projects are on GitHub: \href{https://github.com/stdereka/calc\_math\_hometask}{\underline{numerical methods implementation},} \href{https://github.com/stdereka/PRM\_MIPT}{\underline{physical experiment data processing}}
\item \LaTeX~system. Several projects are hosted on GitHub: \href{https://github.com/stdereka/yavor\_curse}{\underline{coursework report}}
\item ML packages and deep learning frameworks. Sklearn, Keras, MXNet, Pytorch, Xgboost, Lasagne,
Gensim
\item SQL. Basic knowledge
\item Frontend development. HTML, CSS, JavaScript stack. Basic knowledge
\end{itemize}

% \cvachievement{\faTrophy}{}{Received accolades at Atos for Best Performance in team.}
% \cvachievement{\faTrophy}{}{Received Best Debut Award at Atos. }
% %\divider
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