hi! I'M

Silvana Acosta.

ECONOMETRICIAN &
DATA SCIENCE ENTHUSIAST
 

SA

Italian - Uruguayan.

I work as a Quantitative Risk Analyst modeling and analysing financial data. I currently use R, Python, SQL Server and Git, and previously, I used Matlab and Stata. I hold a Ph.D specialized in econometrics, with graduate education in mathematics, during which I conducted Monte Carlo simulations with parallel computing and developed estimators for high-frequency financial data. Before that, as an economist, I worked with macroeconomic time-series, as well as with different national-level panel data sets on education economics and health economics problems within policy impact analysis.

I have many years of teaching experience, and I have deeply enjoyed presenting and explaining models, discussing, and finding new ways to communicate and explain ideas in a simple manner. I also take pleasure from interdisciplinary and challenging work environments with creative people. I am highly-analytical, detail-oriented, curious, and a problem solver, and I would love to keep on developing in data science. I am planning on certificating in AWS Cloud Practitioner, and in the long-term future, expanding my skills to Apache Spark.

skills

MY KNOWLEDGE & TOOLBOX

R - Rstudio

Python - PyCharm

GitHub

SQL Server

Matlab

Atlassian

LyX

LaTeX

AWS Cloud Practitioner Certificated - Expected March 2020

 

PROJECTS

A PEAK ON SOME OF MY FREE TIME. SEE MORE >
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Experience

2019- Present

QUANTITATIVE RISK ANALYST

Nasdaq, Sweden

I have implemented dimension reduction techniques, clustering algorithms, and option pricing models, using data sets of millions of rows. Tasks include fetching data from the SQL Server, assembling data sets, inspection, analysis, modeling, documenting, elaborating automatic reporting, data visualization and presentations.

2013-2018

RESEARCHER & TEACHER 

Aarhus University, Denmark
I was affiliated with the Center for Research in Econometric Analysis of Time-Series (CREATES) where I researched on parametric and non-parametric estimators, conducted simulations, and analysed the TAQ dataset of the NYSE. I gave tutorials on modeling with linear regression, dependent variables, ordered response, censored data, truncated samples, selection, static and dynamic panel data, and stationary and non-stationary time-series estimation and forecasting. I also took my graduate courses in Measure Theory, Real Analysis and Probability, Probability Theory, Markov Chains, Mathematical Analysis, Advanced Financial Econometrics, High-Frequency Econometrics, and Modelling and Forecasting Volatility.  

2008-2013

RESEARCHER & TEACHER

UdelaR & UM Universities, Uruguay
I conducted research on policy impact analysis within economics of education using a few waves of a national panel data set, and I did research assistance on behavioural experiments and macroeconomics data sets running preliminary analysis. During these years, I also taught introductory micro and macroeconomics for undergraduates. Along 2011-2013, I took graduate courses on game theory, contract theory, panel data and time series econometrics, and mathematics. I later continued my graduate training with courses at the Department of Mathematics in Denmark during my Ph.D. 

2007-2008

JUNIOR CONSULTANT

Cinve & Deloitte, Uruguay

I worked at Cinve analyzing health economics national data sets, writing reports, and meeting with managers and technical staff of the health care providers for assessing in the implementation of a national reform of the health system. At Deloitte, I worked as a junior analyst updating international finance data sets writing periodical analysis and reports. 

 
 
 
CONTACT

I would love to hear from you! Whether is about comments on my projects, issues, modeling discussions, or any related topics!

Phone:

(+45) 28 71 28 27

 

E-mail:

silvana.acosta@outlook.com 

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© November 2019 - Silvana Acosta created based on Wix