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• Resourceful and never short of ideas, hard-working, methodical, analytical, scientific, innovative, ambitious yet realistic, with a positive attitude, data, results, and achievement oriented, growing up in the international environment, enjoying being a part of a team and interactions with others from same or other disciplines to achieve a synergistic effect, to work together more effectively, and to put ideas into motion;   • Holding Master Science degrees in Econometrics and Computer Science and Models and Methods of Quantitative Economics (QEM Erasmus Mundus) and defending my Ph.D. thesis entitled: "Quantitative models of establishment location choices: Spatial effects and strategic interactions" on March, 28 2017; Mundus);  • Defending my Ph.D. thesis entitled: "Quantitative models of establishment location choices: Spatial effects and strategic interactions" on March, 28 2017;   •  With a five years' analytics experience in applied microeconometrics, firm demographics, Applied Microeconometrics, Firm Demographics,  and industrial organization Industrial Organization  acquired in both research and higher education institutions; I would like to apply for the position of Policy Analyst - Local Economic and Employment Development (Job no. 11258).  
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%(( SAS,QGIS, MapViewer, Graphviz, MS Office products, Xcelsius, Lotus Notes, LaTeX, \& some knowledge of: R, STATA, SPSS, Statistica))  Since the year 2011 I have been working at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR). Firstly as a research engineer and since October 2013 as a Ph.D. Candidate. This experience strengthened my drafting and analytical skills.  The need for methodological advances in order to more realistically model the complexity of establishment decision-making processes, such as their optimal location choices was the key motivation of my Ph.D. thesis.This  My thesis focuses on accommodation of spatial spillovers, strategic interactions, and price endogeneity for establishment and firm  location choicesof establishments and firms  to provide a more explicit and richer picture of the regional linkages reinforcing local growth and economic development. The developed tool assists in finding a befitting site, which in turn can make a considerable difference for the newly-created business. The contents of the thesis provide some useful recommendations for city planners, transport analysts, real estate agents, urban social theorists, for entrepreneurs, business owners, and shopping center investors. Proposed models account for variables that represent: access to the workforce, demographic characteristics, physical quality, availability of vacant land and of dedicated floor space, accessibility to transport infrastructure (access to public transit networks, road networks), access to other amenities such as universities, services and commerce, pre-existing large establishments establishments, within-  and within-industry inter-industry  entities, prices and tax levels. My Ph.D. thesis is comprised ofsix chapters and is written in a form of essays. The general introduction and the overall conclusion encompass  four scientific papersentitled: (1) Location choices of newly-created establishments: Spatial patterns at the aggregate level, (2) Why choose one when I can pick both? Marrying metrics using a mixture model of the intrametropolitan location choice of establishments, (3) Location choices under strategic interactions: Interdependence of establishment types, and (4) Locational strategies of multi-store firms: A daytime population. The first paper has been  published or under the revision  in the A-class international journals, such as,  "Regional Science and Urban Economics Journal" (RSUE). The second paper is under the second review at the Economics" or  "Networks and Spatial Economics Journal". The third has been submitted to the RSUE Journal. This demonstrates strong scientific writing skills. Economics".  %The approach being proposed in this thesis is mostly computational. Techniques explored in this thesis embody the models which use both aggregate and individual data. Discrete choice and count data models have been applied to study the establishment location choices accounting for strategic interactions and spatial effects to capture the surrounding economic landscape.   %Four papers of which this thesis is comprised, sought to open a dialogue with numerous researchers, who voiced in their works some complaints and burning needs to be accomplished.  Since the year 2011 I have been working at the at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR). First as a research engineer and since October 2013 as a Ph.D. candidate.   In 2015 I obtained an International Mobility Research Fellowship which opened me the door to the collaboration with the Ecole Polytechnique Fédérale de Lausanne (Switzerland), where I conducted the research on the strategic interactions and interdependence of industries using discrete choice models   %Transport and Mobility Laboratory (TRANSP-OR, School of Architecture, Civil and Environmental Engineering)   under the supervision of Professor Michel Bierlaire and Matthieu de Lapparent.   Prior to joining the IFSTTAR team, I worked as a research engineer at the École normale supérieure Ecole Normale Supérieure  Paris-Saclay (previous E.N.S. Cachan)(France)  on two projects: %one of the most prestigious and selective French Grandes Écoles:   (1) The SustainCity Project under European Commission CORDIS 7th Research Framework Programme, Socio Economic Sciences and Humanities with a concentration on the module "Microsimulation and firm demographic models" (http://www.sustaincity.org). To describe the life cycle of the establishments, we proposed a threefold firmographic model which explains the disappearance, evolution and location choice of the business units. A clear understanding of the behavior of establishments over time is crucial in forecasting the development of the region, and related land use and transportation issues. The changes in business units affect the spatial distribution of jobs and economic activities in the urban area. These processes are of great interest for both scientists and policy makers. Firmographic models, which we built, provide a useful tool to develop policies which encourage sustainable economic growth and preserve social systems; and (2) The Grand Paris Project (Société du Grand Paris) having as  an objective to measure the attractiveness of the major territorial development contracts and computation of direct and indirect effects in location choice model (http://www.societedugrandparis.fr). The focus of my education has been always put laid  on the Applied Economics. I gained a double Master degree in Models and Methods of Quantitative Economics (QEM Erasmus Mundus) from the Paris School of Economics/Université Paris 1 Panthéon-Sorbonne (France) and the Bielefeld University (Germany). %M2: ETE Research Master: Theory and Empirical Methods in Economics, Paris School of Economics/Université Paris 1 Panthéon-Sorbonne, France  %2-year Paris School of Economics Scholarship   This two-year QEM Erasmus Mundus Master Program is intended for top-level international students gathering gathers yearly  about 40 top-level international  studentseach year and has an objective  to educate students them  in the methodologies of advanced economics, Advanced Economics,  as well as to refine their research competencies and enhance their ability to apply quantitative economics Quantitative Economics  in practice. I also obtained an Econometrics and Computer Science Master's Degree from the Poznan University of Economics (Poland) and benefited from the International Exchange Fellowship at the Karlstad University (Sweden).  
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%managing data   %strong in scientific writing skills. The Ph.D. thesis   %to get a written piece of work to publication  In addition, I am experienced working with a number of establishment/firm/employment databases at the individual or aggregate level including: (1) INSEE Census data at the aggregate level for the years 2003–2011, (2)  ERE 1997 and 2001, (2) (3)  Clap 2006, (3) and (4)  Altares 2009, 2010, and 2011, 2011. I strongly believe that my profile  and (4) INSEE Census data at experience can conduce to  the aggregate level for further success of  the years 2003–2011. CFE success and be of use of the OECD as a whole.  %(survey carried out yearly by the French National Institute of Statistics and Economic Studies).