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Silvana Acosta

@silvanaacosta

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Data scientist and econometrician with expertise in statistical learning.

Spain

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What I'm looking for

I seek a collaborative environment that values data-driven decision-making and innovation.

I am a data scientist with seven years of experience across tech, finance, and consultancy, specializing in analyzing and modeling data. My proficiency in R, Python, and SQL, coupled with a Ph.D. in econometrics, allows me to develop robust models and insights from complex datasets. I have successfully led projects throughout their life cycle, collaborating with diverse stakeholders and mentoring junior data scientists.

My career has been marked by significant contributions at Activision Blizzard King, where I utilized advanced statistical techniques for A/B testing and customer segmentation, enhancing revenue forecasting and business strategies. I am passionate about making data-driven decisions accessible and understandable, often translating complex analyses into actionable insights for non-technical audiences. Additionally, my leadership roles in organizations like Women Who Code and R-Ladies reflect my commitment to fostering diversity in tech.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Activision Blizzard King

Jan 2021 - Aug 2024 (3 years 7 months)

Worked in the Central Insights Data Science Team analyzing player actions across various game titles. Utilized R, Python, and BigQuery for A/B testing, customer segmentation, and revenue forecasting. Contributed to the development of internal R packages and wrote technical reports for non-technical stakeholders.

R Python BigQuery A B Testing Customer Segmentation Revenue Forecasting Data Analysis Tech Reporting Hypothesis Testing

Associate Director Data Scientist

UBS

Jul 2020 - Nov 2020 (4 months)

Led validation projects for Anti-Financial Crime Models within the AI Monitoring & Surveillance Models Validation Team. Conducted model assessments, developed alternatives, and documented processes while supervising another data scientist.

Python Jupyter Oracle Model Monitoring Assessments Documentation Project Management Financial Crime

Quantitative Risk Analyst

NASDAQ

Apr 2019 - Jul 2020 (1 year 3 months)

Worked in the Risk Modeling Team, implementing dimension reduction techniques and clustering algorithms for clearing derivatives. Analyzed intra-daily data and performed automatic reporting and data visualizations.

R Risk Modeling Data Analysis Clustering Dimension Reduction SQL Data Visualization Reporting Derivatives Financial Analysis

Graduate Researcher

CREATES, Aarhus Universitet

Sep 2013 - Sep 2018 (5 years)

Conducted simulations and developed mathematical results connecting discrete and continuous-time processes. Focused on high-frequency volatility estimation and worked in interdisciplinary teams.

Simulation Mathematics Data Analysis Team Collaboration Research Statistical Methods

Teaching Instructor

Department of Economics, Aarhus Universitet

Sep 2015 - Aug 2016 (11 months)

Planned and presented tutorials in econometrics, leading discussions on multiple regression models and various econometric techniques for groups of students.

Teaching Regression Modeling Curriculum Development Data Analysis Statistical Methods Presentation Skills Planning

Research Assistant

Instituto de Economía (IECON), Universidad de la República

Jul 2008 - Jul 2011 (3 years)

Assisted in writing macroeconomic reports and assembling datasets for analysis. Conducted forecasting analysis using various econometric methods.

Research Data Analysis Reports Datasets Forecasting Statistical Analysis Team Collaboration

Junior Consultant

Deloitte

Mar 2008 - Jul 2008 (4 months)

Worked as a junior analyst in the Economic Analysis Team, updating international finance datasets and contributing to reports for clients.

Data Analysis Reporting Finance Datasets Client Communication Economics Team Collaboration Research Statistical Analysis Reports

Education

Degrees, certifications, and relevant coursework

Aarhus Universitet

Ph.D. in Economics, Economics

2013 - 2018

Conducted research on estimating spot and integrated variance, covariances and betas of continuous-time Itô semi-martingales, both with parametric and non-parametric methods. CREATES is ranked in 2018 by IDEAS RePEc in the world’s top 4 in the field of Time-Series Econometrics.

Aarhus Universitet

M.Sc. in Economics, Economics

2013 - 2015

Relevant Coursework: Measure Theory, Real Analysis and Probability, Probability Theory, Markov Chains, Mathematical Analysis, Advanced Financial Econometrics, High-Frequency Econometrics, and Modeling and Forecasting Volatility.