gml_cv.tex

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%%%%%%%%%%%%%%%%     Mateusz Gomulski - Curriculum Vitae     %%%%%%%%%%%%%%%%%
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% Document settings
\documentclass{cls/gml_cv_sets}

% Title, author, date
\title{GML-CV}
\author{Mateusz Gomulski}
\date{May 2024}

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\begin{document}

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% Header
\header{{\color{whitecol} Curriculum Vitae}}{{\color{whitecol} \bfseries\Huge 
Mateusz Gomulski}}{{\color{whitecol} \large Data Scientist}}{
    imgs/gml.jpg}{bluecol}{3.5cm}{2cm}

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{\setasidefontcolour

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\vspace{14em}

% Key facts
\bgupper{bluecol}{white}{Key Facts} \\

% Personal info
\bg{bluecol}{white}{Personal details} \\

\begin{tabular}{ll}
\faBlackTie&Mateusz Gomulski \\
\faBirthdayCake&22 February 1990 \\
\faGlobe&Warsaw \\
\end{tabular}
\smallskip

% Contact details
\bg{bluecol}{white}{Contact details} \\

\begin{tabular}{ll}
\faPhoneSquare&+48 \_\_\_ \_\_\_ \_\_\_ \\
\faGithubSquare&\href{https://github.com/GML22}{github.com/GML22} \\
\faEnvelope&\href{mailto:mateusz.gomulski@gmail.com}{mateusz.gomulski@gmail.com} \\
\faLinkedinSquare&\href{https://www.linkedin.com/in/mateusz-gomulski}{linkedin.com/in/mateusz-gomulski} \\
\end{tabular}
\smallskip

% Areas of specialisation
\bg{bluecol}{white}{Areas of specialisation} \\

\hashtag{Programming}
\hashtag{Machine Learning} \\
\newline
\hashtag{Data Visualisation}
\hashtag{Risk Management} \\
\smallskip

% Skills
\bgupper{bluecol}{white}{Skills} \\

% IT and Programming
\bg{bluecol}{white}{IT \& programming} \\

% Scatter plot of programming skills
\scatterplot{Programming skills [\%]}{Professional experience [in years]} \\

% Key professional interests
\bubblediagram{{\textbf{KEY} \\ \textbf{PROFESSIONAL} \\ \textbf{INTERESTS}},
\textbf{machine} \\ \textbf{learning}, risk \\ management, 
\textbf{programming}, economy \\ \& \\ finance,  financial \\ markets, 
\textbf{data} \\ \textbf{visualisation}, deep \\ learning, insurance}
\vspace{-1em}

% Languages
\bg{bluecol}{white}{Languages} \\

\begin{minipage}[t]{0.3\textwidth}
\begin{tabular}{c | cc}
\textbf{Polish} & \phantom{xx} & {\hspace{-1.0em} \footnotesize Native
speaker} \\
\textbf{English} & C1 & {\phantom{x} \dotplot{\faCircle}{purplecol}{5}{
    lmargcol}{1}{\tiny}} \\
\textbf{German} & A2 & {\phantom{x} \dotplot{\faCircle}{purplecol}{2}{
    lmargcol}{4}{\tiny}} \\
\textbf{Chinese} & A1 & {\phantom{x} \dotplot{\faCircle}{purplecol}{1}{
    lmargcol}{5}{\tiny}}
\end{tabular}
\end{minipage}}

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\switchcolumn

% Second column settings
\noindent
\vspace{12em}

% Short Resume
\section{Short Resume}
\begin{tabular}{r p{0.37\textwidth} c}
    \cvevent{2022--Present}{Senior Data Scientist in the Risk Office}{
        PZU Group}{imgs/pzu_logo.png} \\
    \cvevent{2021--2022}{Risk Modelling Manager}{Generali Investments TFI}{
        imgs/generali_inv_logo.png} \\
    \cvevent{2018--2021}{Data Scientist in the Risk Office}{PZU Group}{
        imgs/pzu_logo.png} \\
    \cvevent{2014--2017}{Senior Risk Management Specialist}{Generali Poland 
    Group}{imgs/generali_logo.png} \\
    \cvevent{2012}{Intern in the Individual Products Office}{PZU Group}{
        imgs/pzu_logo.png}
\end{tabular}
\vspace{-1.5em}

% Education
\section{Education}
\begin{tabular}{r p{0.4\textwidth} c}
    \cvdegree{2019-2020}{Deep Neural Networks - Applications in Digital Media}
    {Postgraduate studies ~ $\cdot$ ~ Graduation with honours}{Warsaw 
    University of Technology \color{bluecol}}{imgs/pw_logo.png} \\
    \cvdegree{2015-2017}{Computer Engineering}{Extramural engineering 
    studies}{Warsaw University of Technology \color{bluecol}}{
        imgs/pw_logo.png} \\
    \cvdegree{2012-2015}{Computer Science and Econometrics}{Full-time Master’s 
    degree studies}{University of Warsaw \color{bluecol}}{
        imgs/uw_logo.png} \\
    \cvdegree{2012-2015}{Computer Science}{Full-time engineering 
    studies}{Warsaw University of Technology 
    \color{bluecol}}{imgs/pw_logo.png} \\
    \cvdegree{2009-2012}{Interdisciplinary Economic-Managerial 
    Studies}{Full-time undergraduate studies}{University of Warsaw 
    \color{bluecol}}{imgs/uw_logo.png}
\end{tabular}
\vspace{1em}

% Courses, trainings and hobbies
\begin{minipage}[t]{0.42\textwidth}
    \section{Courses \& Trainings}
    \begin{tabular}{>{\footnotesize}l >{\footnotesize}p{0.65\textwidth}}
        2023 {\color{redcol} ~\faMapMarker} \normalfont{~Warsaw} & SQL 
        language in Oracle Databases \\
        2022 {\color{redcol} ~\faMapMarker} \normalfont{~Warsaw} & Advanced 
        workshops on reviewing bond valuation models \\
        2022 {\color{redcol} ~\faMapMarker} \normalfont{~Warsaw} & Interest 
        rate derivatives \\
        2016 {\color{redcol} ~\faMapMarker} 
        \normalfont{~Trieste} & Statistical Learning and Data Analytics \\
        2016 {\color{redcol} ~\faMapMarker} \normalfont{~Trieste} & Accounting
         for Insurance Contracts and Financial Instruments \\
        2016 {\color{redcol} ~\faMapMarker} \normalfont{~Milan} & Solvency II 
        Standard Formula Opening Meeting 2007 \\
        2015 {\color{redcol} ~\faMapMarker} 
        \normalfont{~Trieste} & EBS 2.0. - Internal model of Generali Group 
        under Solvency II regime \\
        2014 {\color{redcol} ~\faMapMarker} \normalfont{~Warsaw} & SAS Data 
        Mining Certificate Program
    \end{tabular}
\end{minipage} \hfill
\begin{minipage}[t]{0.15\textwidth}
    \section{Hobbies}
    \begin{tabular}{c c}
        \hobbyicon{\color{whitecol}\faBicycle}{Sports}{bluecol}{\Large}{2em} & 
        \hobbyicon{\color{whitecol}\faSitemap}{Genealogy}{bluecol}{\Large}{
            2em} \\
        \hobbyicon{\color{whitecol}\faGamepad}{\shortstack{Video \\ Games}}{
            bluecol}{\Large}{2em} &
        \hobbyicon{\color{whitecol}\faBook}{\shortstack{Reading \\ Books}}{
            bluecol}{\Large}{2em} \\
        \hobbyicon{\color{whitecol}\faServer}{\shortstack{Smart \\ Home}}{
            bluecol}{\Large}{2em} & 
        \hobbyicon{\color{whitecol}\faShip}{\shortstack{3D \\ Modeling}}{
            bluecol}{\Large}{2em} \\
    \end{tabular}
\end{minipage}

% Achievements
\vspace{-0.5cm}
\begin{minipage}[t]{0.6\textwidth}
    \section{Achievements}
    \begin{tabular}{>{\footnotesize}r >{\footnotesize}p{0.88\textwidth}}
        2013 & Winner of the contest for the best econometric model at the 
        Faculty of Economic Sciences, University of Warsaw \\
        2013 & Finalist of the 9th edition of the Stock Exchange Academy of 
        the Students' Research Circle: The Investors Club at the Warsaw 
        School of Economics \\
        2012 & Finalist of the 9th edition of the Career Program by the 
        Polish Business Roundtable
    \end{tabular}
\end{minipage}

% Strengths
\section{Strengths}
\begin{center}
    \shashtag{creativity}
    \shashtag{leadership}
    \shashtag{critical thinking}
    \shashtag{task-motivated}
    \shashtag{open-minded}
\end{center}

\clearpage
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% FIRST COLUMN OF THE SECOND PAGE
{\setasidefontcolour

% Python libraries
\bg{bluecol}{white}{Key Python libraries} \\

% Radar Plot
\hspace{-2.3em}\radarplot
\vspace{0.1em}

% Portfolio
\bgupper{bluecol}{white}{Portfolio}
\vspace{-1em}

% QR code
\begin{center}
    \includegraphics[height=2.5cm]{imgs/qr_code.png} \\
\end{center}
\vspace{-1em}

% Projects list
{\small

% GML-Net
\bg{bluecol}{white}{\href{https://github.com/GML22/GML-Net}{\underline{
    1. gh/GML22/GML-Net}}} \\

\textit{\footnotesize Convolutional Neural Network with U-Net architecture 
designed to solve the problem of building detection in RGB aerial imagery} \\
\vspace{0.6em}

% PostCodesMaps
\bg{bluecol}{white}{\href{https://github.com/GML22/PostCodesMaps}{\underline{
    2. gh/GML22/PostCodesMaps}}} \\ 

\textit{\footnotesize Python application that creates postcode maps in Poland 
based on a set of address points from the Polish National Register of 
Boundaries Database} \\ \vspace{0.6em}

 % GeocoderPL
\bg{bluecol}{white}{\href{https://github.com/GML22/GeocoderPL}{
    \underline{3. gh/GML22/GeocoderPL}}} \\ 

\textit{\footnotesize Python application that can be used to geocode address 
points in Poland and display basic information about the building associated 
with a given address} \\ \vspace{0.6em}

% Anti-Plag-Java
\bg{bluecol}{white}{\href{https://github.com/GML22/Anti-Plag-Java}{\underline{
    4. gh/GML22/Anti-Plag-Java}}} \\

\textit{\footnotesize Java application that detects plagiarism by comparing 
source codes of projects} \\ \vspace{0.6em}

% Fed_QE_Model
\bg{bluecol}{white}{\href{https://github.com/GML22/Fed\_QE\_Model}{\underline{
    5. gh/GML22/Fed\_QE\_Model}}} \\ 

\textit{\footnotesize Econometric analysis of the effectiveness of 
unconventional monetary policy of the Federal Reserve during the economic 
crisis - analysis for the period of 2008-2016} \\ \vspace{0.6em}

% Oscars_Model
\bg{bluecol}{white}{\href{https://github.com/GML22/Oscars\_Model}{\underline{
    6. gh/GML22/Oscars\_Model}}} \\ 

\textit{\footnotesize Econometric analysis of economic and non-economic 
factors affecting the probability of winning an Oscar} \\ \vspace{0.6em}

% VBA_Interactive_Map
\bg{bluecol}{white}{ \href{https://github.com/GML22/VBA\_Interactive\_Map}{
    \underline{7. gh/GML22/VBA\_Interactive\_Map}}} \\ 

\textit{\footnotesize Interactive map of Poland implemented in an Excel 
spreadsheet showing data on the population of Poland} \\}}

% SECOND COLUMN OF THE SECOND PAGE
\switchcolumn

% Full Resume
\section{Full Resume}
\begin{tabular}{r p{0.45\textwidth} c}
    \cveventlong{09.2023--Present}{Senior Data Scientist in the Abakus II
    project}{PZU Group}{--~Technical leader of the emerging internal model, 
    ensuring quality and consistency of implementation, proper documentation 
    and versioning. \newline --~ Lead architect of the technical 
    implementation of the project focusing on maintaining high 
    standards of object-oriented parallel programming. \newline --~Key 
    developer of the simulation engine used to calculate premium risk within 
    the project. \newline --~Main author of the dependency modelling and 
    reinsurance overlaying modules of the project.} \\
    \cveventlong{06.2022--08.2023}{Senior Data Scientist in the Risk 
    Office}{PZU Group}{--~Construction, maintenance and development of 
    statistical, econometric and stochastic models used for calculation and 
    reporting of market risk - mainly the Internal Market Risk Model.  
    \newline --~Construction, maintenance and development of 
    tools supporting the calculation and visualisation of the flood risk in 
    Poland, in particular the Internal Flood Risk Model and the Interactive 
    Map of Flood Risk.
    \newline --~Construction, maintenance and development of Internal 
    Operational Risk Model used to calculate operational risk in the PZU 
    Group.} \\
    \cveventlong{12.2021--05.2022}{Risk Modelling Manager}{Generali 
    Investments TFI}{--~Construction, maintenance and development 
    of valuation models of financial instruments not quoted on active markets 
    (in particular corporate bonds and derivatives) used in the process of 
    daily valuation of all assets and for the purpose of monthly analyses 
    carried out for the needs of the Valuation and Risk Committee. 
    \newline --~Construction, maintenance and development of risk management 
    models used for measuring and monitoring market risk for the needs of the 
    Valuation and Risk Committee. \newline --~Construction, maintenance and 
    development of financial models used for calculating reference rates for 
    charging fees.} \\
    \cveventlong{01.2018--11.2021}{Data Scientist in the Risk 
    Office}{PZU Group}{--~Construction, maintenance and development of 
    statistical, econometric and stochastic models used for calculation and 
    reporting of market risk. \newline --~Construction, maintenance and 
    development of statistical model used for calculation of expected credit 
    losses on debt securities, as required by the IFRS 9. \newline
    --~Construction, maintenance and development of stochastic model used for 
    the calculation of the maximum gross loss in a natural catastrophe 
    scenarios.} \\
    \cveventlong{06.2014--12.2017}{Senior Risk Management 
    Specialist}{Generali Poland Group}{--~Quarterly and annual 
    calculations of the solvency capital requirement in parts related to 
    market risk, according to the standard formula and Generali Group 
    internal model. \newline --~Preparation of calculations 
    and analyses for the needs of the Assets and Liabilities Committee and 
    Risk Committee. \newline --~Co-authoring the supervisory reports in the 
    Solvency II regime: ORSA, QRT, RSR and SFCR - in the market risk 
    sections.} \\
    \cveventlong{06.2012--09.2012}{Intern in the Individual Products 
    Office}{PZU Group}{--~Implementation of Excel VBA 
    application to determine the indicators of fundamental and technical 
    analysis of selected listed companies, indices, currencies and 
    commodities for the purpose of constructing structured products in the 
    PZU Group.}
\end{tabular}

% GDPR
\vfill
\scriptsize{I agree to the processing of personal data provided in this 
document for realising the recruitment process pursuant to the Personal Data 
Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in 
agreement with Regulation (EU) 2016/679 of the European Parliament and of the 
Council of 27 April 2016 on the protection of natural persons with regard to 
the processing of personal data and on the free movement of such data, and 
repealing Directive 95/46/EC (General Data Protection Regulation).}

% Footer
\vfill
\begin{center}\fontfamily{\sfdefault}\selectfont \color{black!70}
{\small Mateusz Gomulski \icon{\faGlobe}{bluecol}{} Warsaw \icon{
    \faPhoneSquare}{bluecol}{} +48 \_\_\_ \_\_\_ \_\_\_ \\ \icon{
        \faAt}{bluecol}{} 
    \href{mailto:mateusz.gomulski@gmail.com}{mateusz.gomulski@gmail.com} 
    \icon{\faLinkedinSquare}{bluecol}{} 
            \href{https://www.linkedin.com/in/mateusz-gomulski}{
                linkedin.com/in/mateusz-gomulski}}
\end{center}

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