Estimation and analysis of financial variance spillover networks for academic research
Econometrics Researcher
Econometrics Researcher
Carried out research to analyze financial time series data with statistical learning algorithms
Acquired suitable datasets from large SQL databases and set up an automated pre-processing pipeline
Wrote object-oriented code to run cross-validated regularized machine learning algorithms
Conducted extensive statistical and econometric analyses to empirically analyze the results
Authored (some published) research papers that present the results at an academic standard
2 years
2021-10 - 2023-09
Quality prediction based on time series data in a manufacturing context
Machine Learning Scientist
Machine Learning Scientist
Implemented a machine learning system for quality prediction in a manufacturing context
Tested various predictive algorithms including statistical models and deep neural networks
Explored, filtered and connected various data sources to construct consistent datasets
Analyzed and visualized large amounts of time series data
Conceptualized the data pipelines and modeling approaches
2 years
2021-10 - 2023-09
Machine status detection in 3D printing based on infrared image data
Machine Learning Scientist
Machine Learning Scientist
Built an system to automatically identify irregularities in industrial 3D printing
Programmed a visual deep learning algorithm to detect machine pollution in live production
Implemented various data augmentation techniques to deal with machine heterogeneity
Define a process and set up a platform to create labeled datasets suitable to train machine learning models
Coordinated and externally represented a five-person project team
2 years 5 months
2021-05 - 2023-09
Automated question answering via retrieval of internal natural language documents
Machine Learning Scientist
Machine Learning Scientist
Developed proof-of-concept for automatic question answering (QA) with semantic search
Created a demo for extractive QA based on a provided document
Expanded processing pipeline to larger quantities of internal
document via automatic document retrieval and generative QA with large
language models (LLMs)
Followed the newest developments in natural language processing (NLP)
2 years 5 months
2021-05 - 2023-09
Conducted deep learning research projects
Machine Learning Scientist
Machine Learning Scientist
Conducted deep learning research projects in computer vision and time series
Implemented commercial machine learning software in a manufacturing context
Developed data processing pipelines for the deployment into live production
Conceptualized application of large language models for question answering
Represented and organized a five-person project team
Prepared analyses and visualizations of large amounts of unstructured data
dida Machine Learning
Berlin, Germany
4 years 6 months
2017-09 - 2022-02
Supported teaching
Teaching Assistant
Teaching Assistant
Supported teaching and grading of Master?s courses in financial data analysis
Generated course materials, assignments and exams
Universidade Nova de Lisboa
Lisbon, Portugal
5 months
2015-07 - 2015-11
Provided data-driven research
Quant Strategies Intern
Quant Strategies Intern
Provided data-driven research on fund performance and portfolio optimization
Prototyped tools for investment strategies in Matlab and VBA for Excel
Modeled time series with regularized regressions and scenario simulations
risklab ? Allianz Global Investors
Munich, Germany
6 months
2014-03 - 2014-08
Prepared senior management presentations
Consulting Intern
Consulting Intern
Prepared senior management presentations to guide a risk management project
zeb
Vienna, Austria
2 months
2013-08 - 2013-09
Financial Markets
Financial Markets Intern
Financial Markets Intern
Gaotime Information
Shanghai, China
Aus- und Weiterbildung
Aus- und Weiterbildung
8 years
2016-09 - now
Economics
PhD, NOVA SBE
PhD
NOVA SBE
Carried out research in applied econometrics and empirical data analysis
Worked on the high-dimensional estimation of network graphs and applications
Employed data science tools such as python, Matlab, SQL in the implementation
Submitted dissertation ?Connecting the dots: An exploration of spillover networks in economics and finance? in late 2023
5 months
2018-01 - 2018-05
Visiting Scholar
University of North Carolina
University of North Carolina
1 year 9 months
2014-09 - 2016-05
Finance
MSc, NOVA SBE
MSc
NOVA SBE
3 years 8 months
2010-10 - 2014-05
International Business Administration
BSc, WU Vienna
BSc
WU Vienna
5 months
2013-01 - 2013-05
Exchange Semester
National University of Singapore
National University of Singapore
Position
Position
I am a data scientist working on machine learning solutions to industry problems with experience in the domains of time series, computer vision, and NLP.
While my primary skillset lays in the implementation of data transformation pipelines and predictive algorithms, I have also had exposure to the conceptualization and management of data projects.
My specialized experience working on data science problems reaches back five years, half of which in a professional context.
I have written code in python, octave/matlab, R, SQL, visual basic, and LaTeX. My language of choice is python.
Libraries that I frequently use include numpy, pandas, matplotlib, scikit-learn, PyTorch, and transformers.
Kompetenzen
Kompetenzen
Top-Skills
Data ScientistMachine LearningPythonDeep LearningPyTorchEconometricsSQLDeep Neural NetworkStatistikGitNLPComputer VisionTime SeriesLLMsLinuxBig Data Analytics
Produkte / Standards / Erfahrungen / Methoden
python
Experte
pandas
Experte
matplotlib
Experte
sklearn
Experte
numpy
Fortgeschritten
pytorch
Fortgeschritten
transformers
Fortgeschritten
machine learning
Experte
neural networks
Experte
data wrangling
Experte
time series
Experte
git
Fortgeschritten
computer vision
Fortgeschritten
nlp/llm
Fortgeschritten
linux
Fortgeschritten
Programmiersprachen
Python
Experte
Matlab
Fortgeschritten
SQL
Fortgeschritten
R
Basics
VBA
Basics
Einsatzorte
Einsatzorte
Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich
Projekte
Projekte
3 years 7 months
2020-05 - 2023-11
Estimation and analysis of financial variance spillover networks for academic research
Econometrics Researcher
Econometrics Researcher
Carried out research to analyze financial time series data with statistical learning algorithms
Acquired suitable datasets from large SQL databases and set up an automated pre-processing pipeline
Wrote object-oriented code to run cross-validated regularized machine learning algorithms
Conducted extensive statistical and econometric analyses to empirically analyze the results
Authored (some published) research papers that present the results at an academic standard
2 years
2021-10 - 2023-09
Quality prediction based on time series data in a manufacturing context
Machine Learning Scientist
Machine Learning Scientist
Implemented a machine learning system for quality prediction in a manufacturing context
Tested various predictive algorithms including statistical models and deep neural networks
Explored, filtered and connected various data sources to construct consistent datasets
Analyzed and visualized large amounts of time series data
Conceptualized the data pipelines and modeling approaches
2 years
2021-10 - 2023-09
Machine status detection in 3D printing based on infrared image data
Machine Learning Scientist
Machine Learning Scientist
Built an system to automatically identify irregularities in industrial 3D printing
Programmed a visual deep learning algorithm to detect machine pollution in live production
Implemented various data augmentation techniques to deal with machine heterogeneity
Define a process and set up a platform to create labeled datasets suitable to train machine learning models
Coordinated and externally represented a five-person project team
2 years 5 months
2021-05 - 2023-09
Automated question answering via retrieval of internal natural language documents
Machine Learning Scientist
Machine Learning Scientist
Developed proof-of-concept for automatic question answering (QA) with semantic search
Created a demo for extractive QA based on a provided document
Expanded processing pipeline to larger quantities of internal
document via automatic document retrieval and generative QA with large
language models (LLMs)
Followed the newest developments in natural language processing (NLP)
2 years 5 months
2021-05 - 2023-09
Conducted deep learning research projects
Machine Learning Scientist
Machine Learning Scientist
Conducted deep learning research projects in computer vision and time series
Implemented commercial machine learning software in a manufacturing context
Developed data processing pipelines for the deployment into live production
Conceptualized application of large language models for question answering
Represented and organized a five-person project team
Prepared analyses and visualizations of large amounts of unstructured data
dida Machine Learning
Berlin, Germany
4 years 6 months
2017-09 - 2022-02
Supported teaching
Teaching Assistant
Teaching Assistant
Supported teaching and grading of Master?s courses in financial data analysis
Generated course materials, assignments and exams
Universidade Nova de Lisboa
Lisbon, Portugal
5 months
2015-07 - 2015-11
Provided data-driven research
Quant Strategies Intern
Quant Strategies Intern
Provided data-driven research on fund performance and portfolio optimization
Prototyped tools for investment strategies in Matlab and VBA for Excel
Modeled time series with regularized regressions and scenario simulations
risklab ? Allianz Global Investors
Munich, Germany
6 months
2014-03 - 2014-08
Prepared senior management presentations
Consulting Intern
Consulting Intern
Prepared senior management presentations to guide a risk management project
zeb
Vienna, Austria
2 months
2013-08 - 2013-09
Financial Markets
Financial Markets Intern
Financial Markets Intern
Gaotime Information
Shanghai, China
Aus- und Weiterbildung
Aus- und Weiterbildung
8 years
2016-09 - now
Economics
PhD, NOVA SBE
PhD
NOVA SBE
Carried out research in applied econometrics and empirical data analysis
Worked on the high-dimensional estimation of network graphs and applications
Employed data science tools such as python, Matlab, SQL in the implementation
Submitted dissertation ?Connecting the dots: An exploration of spillover networks in economics and finance? in late 2023
5 months
2018-01 - 2018-05
Visiting Scholar
University of North Carolina
University of North Carolina
1 year 9 months
2014-09 - 2016-05
Finance
MSc, NOVA SBE
MSc
NOVA SBE
3 years 8 months
2010-10 - 2014-05
International Business Administration
BSc, WU Vienna
BSc
WU Vienna
5 months
2013-01 - 2013-05
Exchange Semester
National University of Singapore
National University of Singapore
Position
Position
I am a data scientist working on machine learning solutions to industry problems with experience in the domains of time series, computer vision, and NLP.
While my primary skillset lays in the implementation of data transformation pipelines and predictive algorithms, I have also had exposure to the conceptualization and management of data projects.
My specialized experience working on data science problems reaches back five years, half of which in a professional context.
I have written code in python, octave/matlab, R, SQL, visual basic, and LaTeX. My language of choice is python.
Libraries that I frequently use include numpy, pandas, matplotlib, scikit-learn, PyTorch, and transformers.
Kompetenzen
Kompetenzen
Top-Skills
Data ScientistMachine LearningPythonDeep LearningPyTorchEconometricsSQLDeep Neural NetworkStatistikGitNLPComputer VisionTime SeriesLLMsLinuxBig Data Analytics
Produkte / Standards / Erfahrungen / Methoden
python
Experte
pandas
Experte
matplotlib
Experte
sklearn
Experte
numpy
Fortgeschritten
pytorch
Fortgeschritten
transformers
Fortgeschritten
machine learning
Experte
neural networks
Experte
data wrangling
Experte
time series
Experte
git
Fortgeschritten
computer vision
Fortgeschritten
nlp/llm
Fortgeschritten
linux
Fortgeschritten
Programmiersprachen
Python
Experte
Matlab
Fortgeschritten
SQL
Fortgeschritten
R
Basics
VBA
Basics
Vertrauen Sie auf Randstad
Im Bereich Freelancing
Im Bereich Arbeitnehmerüberlassung / Personalvermittlung