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Alexandra Manta
Alexandra Manta, Ph.D.

Alexandra Manta, Ph.D.

Applied Scientist, Forecasting & Risk

Zillow

Biography

I am an Applied Scientist in the forecasting team at Zillow. I enjoy travelling, sports and fine dining.

My Ph.D. is in Economics from Emory University, USA, and my BA is in also in Economics from National and Kapodistrian University of Athens (UOA), Greece. Since being in high school, economics was the field I wanted to acquire deep expertise in. Dealing with concrete, typically unprecedented economic problems is still my passion.

My 11-years of experience in real-world economic problems, has equipped me with a strong skillset in Exploratory Economic Data Analysis (microeconomic analysis, identification of leading indicator model features, model selection and validation, causal inference), Scientific Programming (data manipulation, modeling, estimation, forecasting, visualization) and Applied Econometric Time Series Model Development & Forecasting (data engineering skills, cloud computing, building economically interpretable business models, producing US market wide forecasts).

My work and academic experience have equipped me with both the qualitative and the quantitative tools to address a variety of economic problems including Business Data-Driven Decision Making. I have worked on product related projects which have direct or indirect implications to business strategy and revenue. Example datasets I have worked on are in areas such as investments, banking, financial risk, real estate, statistics and healthcare.

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Interests
  • Time Series & Econometric Data Analysis
  • Time Series Forecasting
  • Causal Inference in Multilayer Networks
  • Data-Driven Decision Making
  • Big Data, Network Data, Panel Data, Quantitative Data
Education
  • PhD in Economics, 2023

    Emory University

  • MSc in Economics, 2021

    Emory University

  • BA (First-Class) in Economics, 2016

    National and Kapodistrian University of Athens

Skills

Economics
Statistics
Overleaf
R
Python
Github

Recent Publications

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(2022). Estimating Social Effects in a Multilayered Linear-in-Means Model with Network Data. Statistics & Probability Letters, 109331.

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