Juliana Vega Lacorte
Angestellt, Data Scientist, WBS Training AG
Berlin, Deutschland
Werdegang
Berufserfahrung von Juliana Vega Lacorte
Bis heute 10 Jahre und 6 Monate, seit Jan. 2014
Analytics and Data Science | Training & Consulting
Analytics and Data Science
• Advice on data analysis for those working or studying in the fields of economics, finance, or marketing. • Technical areas: Multiple regression analysis, Logistic regression, Panel data analysis, Treatment effects estimation, Time series. • Tools: R Tidyverse, Wolfram Mathematica, Power BI
Bis heute
Training in R and Statistical Analysis
www.jv-lacorte.de
Bis heute
Econometric Modeling Consulting
www.jv-lacorte.de
1 Jahr und 2 Monate, Sep. 2010 - Okt. 2011
Research Assistant - Econometrics
Center for Economic Intelligence and Research
• Quantitative analysis in the context of the OECD's Global Project on "Measuring the Progress of Societies". • Data preparation and analysis of survey data sets: cleaning, merging, principal component analysis. • Tools: Stata, Microsoft Excel.
6 Monate, Apr. 2010 - Sep. 2010
Sales Data Analyst
Convermex Group
• Created sales data dashboard to ensure accurate and timely reporting to the Sales Director in market leader company . • Trend and forecast analysis. • Built internal reports by product, region and distribution channel. • Maintained and updated product and client databases. • Tools: Microsoft Excel (Macros and Pivot Tables).
7 Monate, Sep. 2009 - März 2010
Sales Assistant
Schaeffler Group
• Provided support to the Sales Management Team at LuK Puebla, Mexico. • Administered customers’ data (Ford, Volkswagen, GM). • Monitored days of sales outstanding (DSO) • Prepared monthly reports • Tools: SAP SD (Sales and Distribution), Microsoft Excel.
• Data collection on financial reports from company SEC filings at Deloitte Puebla, MX • Research on markets and industries.
Ausbildung von Juliana Vega Lacorte
- Bis heute
Freie Universität Berlin
Statistical Programming with R, Multivariate Methods, Applied Microeconometrics, Empirical Methods in Applied Microeconomics
Hochschule Bremen
Sprachen
Englisch
Fließend
Deutsch
Fließend
Spanisch
Muttersprache