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Work Experience
Research Software Engineer
CEPREMAP• October 2019 - Present
• Dynare team • Backtesting, validation and implementation of estimation algorithms for (semi)-structural macroeconomic models • Write software implementation of user requested features in MATLAB and C++ • Develop MATLAB plugin for the DBnomics API (an open economic time series database platform)
Trainee
European Central Bank• July 2018 - July 2019
• Traineeship in Forecasting and Policy Modelling • Developed and validated semi-structural and reduced-form macroeconomic models, implemented routines related to estimation, (un)conditional stochastic forecasting • Policy modelling and infrastructure developments in MATLAB, EViews and Dynare • Programed mathematical, statistical and econometric procedures for policy-relevant and research projects • Analysis of the euro area business cycle, risk analyses and the assessment of uncertainties surrounding the economic outlook
Part-time Associate
i5invest GmbH• May 2018 - June 2018
• Advised on task automation, developed deal flow intelligence aggregator tool in Python utilizing Google’s Sheets API • Developed outreach campaign tool in Python utilizing Google’s Gmail API, resulting in a 30% decrease in time needed to generate additional reach out batches • Utilized web scraping techniques to extract and organize market intelligence data
M&A Associate
i5invest GmbH• January 2016 - August 2017
• Worked with client senior management teams and stakeholders throughout all phases of transaction advisory and execution • Coordinated and implemented due diligence for potential transactions¬ • Drafted pitch books, management presentations and developed valuation and 5-year business development models • Responsible for i5invest’s business development activities in the Netherlands (support in presence establishment, competitor analysis, creation of deal pipeline) • Monitored trends in cyber security and IoT including peer performance
Education
CentraleSupélec
Data Science, MS• September 2017 - January 2019
• GPA: 3.3/4.0 (16.7/20) | ESSEC Excellence Scholarship upon admission • The curriculum included data mining techniques, machine and deep learning modelling methods and network analysis • Thesis: Network Analysis in Macroeconomic Models (using NetworkX, Bokeh) (Grade: A+)
Università Bocconi
Economics, BS• September 2012 - July 2015
• GPA: 3.5 / 4.0 (100/110) • Thesis: The Effect of the Oil Price Changes in 2014-2015 on OPEC Countries - Empirical Analysis on the Relation of Real Effective Exchange Rates and Oil Price (using SPSS) (Grade: A+) • Member of TEDxBocconiU, e-club; Delegate at World Business Dialogue; Regional finalist at Hult Prize Challenge