Data science and machine learning specialist with 3+ years of experience in delivering projects in analytics, predictive modeling and AI applications.
Aktualisiert am 09.10.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 28.10.2024
Verfügbar zu: 100%
davon vor Ort: 50%
Data Scientist
Machine Learning
Python
Deep Learning
PyTorch
Econometrics
SQL
Deep Neural Network
Statistik
Git
NLP
Computer Vision
Time Series
LLMs
Linux
Big Data Analytics
pandas | numpy | scipy
Forecasting
Docker
MLFlow
Artificial Intelligence (AI)
German
Muttersprache
English
Verhandlungssicher
Portuguese
French

Einsatzorte

Einsatzorte

Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 years 7 months
2020-05 - 2023-11

Estimation and Analysis of Variance Spillover Networks

Data Scientist / Econometrics Researcher Python pandas numpy ...
Data Scientist / Econometrics Researcher
  • Explored and evaluated various statistical learning algorithms for multivariate forecasting, identifying optimal methods for large-scale datasets.
  • Acquired data from SQL databases and set up an automated pre-processing pipeline for efficient data handling.
  • Implemented object-oriented code for running cross-validated algorithms to estimate variance spillover networks.
  • Conducted rigorous statistical and econometric analyses, producing valuable insights into variance spillovers in economic and financial networks.
  • Authored research papers targeting high-impact journals, presenting novel methodology and findings.
  • Result: Published a well-received paper in Quantitative Economics, with follow-up research papers under review, contributing significantly to the field of econometrics and financial research.
Python pandas numpy scikit-learn PostgreSQL glmnet Vector Auto-Regression Multivariate Time Series Forecasting Networkx MS Azure
2 years
2021-10 - 2023-09

Quality Prediction Based on Sensor Time Series Recordings

Machine Learning Scientist / Project Manager Python PyTorch CNNs ...
Machine Learning Scientist / Project Manager
  • Analyzed and visualized high-frequency sensor data to identify patterns related to product quality.
  • Integrated data from multiple sources, processing, filtering, cleaning, and combining datasets for consistency.
  • Designed data pipelines and modeling approaches to automate data preparation and streamline data modeling.
  • Developed a quality prediction system using advanced machine learning techniques, testing algorithms from traditional statistical models to cutting-edge deep neural networks.
  • Conducted experiments with explainable AI to derive actionable insights for process engineers.
  • Result: Provided analytic insights for production optimization, empowering process engineers to make informed adjustments, ultimately improving product consistency and reducing defects.
Python PyTorch CNNs ROCKET Time Series Classification Data Wrangling Git Explainable AI matplotlib numpy
Manufacturing Company
2 years
2021-10 - 2023-09

Visual Machine Status Detection in Industrial 3D Printing

Machine Learning Engineer / Project Manager Python PyTorch CNNs ...
Machine Learning Engineer / Project Manager
  • Led project management in a five-person team, ensuring smooth collaboration, preparing project reports, and delivering key stakeholder presentations.
  • Guided data collection and pre-processing of infrared image data from production machines.
  • Designed and implemented a custom annotation interface for efficient labeling of image datasets.
  • Developed a deep learning model using convolutional neural networks (CNN) to detect machine pollution.
  • Implemented data augmentation techniques to improve model performance and generalization across machines.
  • Deployed the model via a containerized API using Docker and FastAPI, enabling integration into live production.
  • Result: Supplied a real-time monitoring system that automatically detected irregularities, reducing manual interventions and improving production efficiency.
Python PyTorch CNNs Docker Git OpenCV FastAPI PyTorch Lightning ipywidgets ResNet
Manufacturing Company
1 year 10 months
2021-05 - 2023-02

Automated Question Answering via Document Retrieval

Data Scientist / AI Engineer Huggingface Transformers Haystack LLMs ...
Data Scientist / AI Engineer
  • Developed an extractive QA demo using NLP models to automate question answering based on internal documents.
  • Created a proof-of-concept for semantic search and automatic document retrieval, improving search accuracy.
  • Expanded the retrieval pipeline with more documents, enabling generative QA with large language models (LLMs).
  • Updated developers on the latest NLP advancements and applications, ensuring cutting-edge technology adoption.
  • Result: Deployed a responsive chatbot for document-based QA, reducing manual search times and streamlining employee access to information.
Huggingface Transformers Haystack LLMs BERT Semantic Search Document Retrieval Git BeautifulSoup4 web scraping
IT Services Company
4 years 6 months
2017-09 - 2022-02

Course preparation and teaching in financial data analysis

Teaching Assistant MS Excel VBA Python ...
Teaching Assistant
  • Assisted in teaching and grading graduate-level courses on financial data analysis,
    mentoring 300+ students on complex data-driven methodologies.
  • Developed course materials, assignments, and exams, promoting applications of
    financial modeling, statistical analysis, and data visualization techniques.
MS Office MS Teams MS Excel LaTeX
MS Excel VBA Python Data Analytics eLearning
Lisbon, Portugal

Aus- und Weiterbildung

Aus- und Weiterbildung

7 years 8 months
2016-10 - 2024-05

Economics

PhD, NOVA SBE
PhD
NOVA SBE
  • Conducted research in applied econometrics and data analysis, with a focus on the
    estimation of network graphs from large datasets with machine learning.
  • Utilized data science tools such as Python, SQL, and Matlab to implement complex
    models, analyze large-scale datasets, and make significant contributions to the field.
  • Successfully defended dissertation in May 2024 with distinction and honors.
10 months
2020-07 - 2021-04

Data Science Bootcamp

Lisbon Data Science Academy
Lisbon Data Science Academy
  • Completed a 9-month program in NLP, recommender systems, model deployment

and more with hands-on projects in python.

  • Competed in hackathons and weekend sprints, applying advanced machine learning
techniques in collaborative environments.
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 9 months
2010-09 - 2014-05

International Business Administration

BSc, WU Vienna
BSc
WU Vienna

Position

Position

I am an experienced data scientist with a proven track record in building custom machine learning solutions for classification, forecasting, and predictive analytics. Leveraging a strong analytical foundation from my PhD in quantitative economics, I specialize in delivering scalable models that transform complex data into actionable insights and automated workflows. My expertise spans time series analysis, image processing and text mining, with a focus on Python and advanced libraries such as PyTorch, scikit-learn, huggingface and langchain.

I apply best practices in software engineering and A.I. to ensure clean, maintainable code and have successfully implemented end-to-end data projects, from conceptualization to deployment. I am also proficient in building data transformation pipelines with SQL and pandas, ensuring efficient data handling and integration in production environments.

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Machine Learning Python Deep Learning PyTorch Econometrics SQL Deep Neural Network Statistik Git NLP Computer Vision Time Series LLMs Linux Big Data Analytics pandas | numpy | scipy Forecasting Docker MLFlow Artificial Intelligence (AI)

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 Variance Spillover Networks

Data Scientist / Econometrics Researcher Python pandas numpy ...
Data Scientist / Econometrics Researcher
  • Explored and evaluated various statistical learning algorithms for multivariate forecasting, identifying optimal methods for large-scale datasets.
  • Acquired data from SQL databases and set up an automated pre-processing pipeline for efficient data handling.
  • Implemented object-oriented code for running cross-validated algorithms to estimate variance spillover networks.
  • Conducted rigorous statistical and econometric analyses, producing valuable insights into variance spillovers in economic and financial networks.
  • Authored research papers targeting high-impact journals, presenting novel methodology and findings.
  • Result: Published a well-received paper in Quantitative Economics, with follow-up research papers under review, contributing significantly to the field of econometrics and financial research.
Python pandas numpy scikit-learn PostgreSQL glmnet Vector Auto-Regression Multivariate Time Series Forecasting Networkx MS Azure
2 years
2021-10 - 2023-09

Quality Prediction Based on Sensor Time Series Recordings

Machine Learning Scientist / Project Manager Python PyTorch CNNs ...
Machine Learning Scientist / Project Manager
  • Analyzed and visualized high-frequency sensor data to identify patterns related to product quality.
  • Integrated data from multiple sources, processing, filtering, cleaning, and combining datasets for consistency.
  • Designed data pipelines and modeling approaches to automate data preparation and streamline data modeling.
  • Developed a quality prediction system using advanced machine learning techniques, testing algorithms from traditional statistical models to cutting-edge deep neural networks.
  • Conducted experiments with explainable AI to derive actionable insights for process engineers.
  • Result: Provided analytic insights for production optimization, empowering process engineers to make informed adjustments, ultimately improving product consistency and reducing defects.
Python PyTorch CNNs ROCKET Time Series Classification Data Wrangling Git Explainable AI matplotlib numpy
Manufacturing Company
2 years
2021-10 - 2023-09

Visual Machine Status Detection in Industrial 3D Printing

Machine Learning Engineer / Project Manager Python PyTorch CNNs ...
Machine Learning Engineer / Project Manager
  • Led project management in a five-person team, ensuring smooth collaboration, preparing project reports, and delivering key stakeholder presentations.
  • Guided data collection and pre-processing of infrared image data from production machines.
  • Designed and implemented a custom annotation interface for efficient labeling of image datasets.
  • Developed a deep learning model using convolutional neural networks (CNN) to detect machine pollution.
  • Implemented data augmentation techniques to improve model performance and generalization across machines.
  • Deployed the model via a containerized API using Docker and FastAPI, enabling integration into live production.
  • Result: Supplied a real-time monitoring system that automatically detected irregularities, reducing manual interventions and improving production efficiency.
Python PyTorch CNNs Docker Git OpenCV FastAPI PyTorch Lightning ipywidgets ResNet
Manufacturing Company
1 year 10 months
2021-05 - 2023-02

Automated Question Answering via Document Retrieval

Data Scientist / AI Engineer Huggingface Transformers Haystack LLMs ...
Data Scientist / AI Engineer
  • Developed an extractive QA demo using NLP models to automate question answering based on internal documents.
  • Created a proof-of-concept for semantic search and automatic document retrieval, improving search accuracy.
  • Expanded the retrieval pipeline with more documents, enabling generative QA with large language models (LLMs).
  • Updated developers on the latest NLP advancements and applications, ensuring cutting-edge technology adoption.
  • Result: Deployed a responsive chatbot for document-based QA, reducing manual search times and streamlining employee access to information.
Huggingface Transformers Haystack LLMs BERT Semantic Search Document Retrieval Git BeautifulSoup4 web scraping
IT Services Company
4 years 6 months
2017-09 - 2022-02

Course preparation and teaching in financial data analysis

Teaching Assistant MS Excel VBA Python ...
Teaching Assistant
  • Assisted in teaching and grading graduate-level courses on financial data analysis,
    mentoring 300+ students on complex data-driven methodologies.
  • Developed course materials, assignments, and exams, promoting applications of
    financial modeling, statistical analysis, and data visualization techniques.
MS Office MS Teams MS Excel LaTeX
MS Excel VBA Python Data Analytics eLearning
Lisbon, Portugal

Aus- und Weiterbildung

Aus- und Weiterbildung

7 years 8 months
2016-10 - 2024-05

Economics

PhD, NOVA SBE
PhD
NOVA SBE
  • Conducted research in applied econometrics and data analysis, with a focus on the
    estimation of network graphs from large datasets with machine learning.
  • Utilized data science tools such as Python, SQL, and Matlab to implement complex
    models, analyze large-scale datasets, and make significant contributions to the field.
  • Successfully defended dissertation in May 2024 with distinction and honors.
10 months
2020-07 - 2021-04

Data Science Bootcamp

Lisbon Data Science Academy
Lisbon Data Science Academy
  • Completed a 9-month program in NLP, recommender systems, model deployment

and more with hands-on projects in python.

  • Competed in hackathons and weekend sprints, applying advanced machine learning
techniques in collaborative environments.
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 9 months
2010-09 - 2014-05

International Business Administration

BSc, WU Vienna
BSc
WU Vienna

Position

Position

I am an experienced data scientist with a proven track record in building custom machine learning solutions for classification, forecasting, and predictive analytics. Leveraging a strong analytical foundation from my PhD in quantitative economics, I specialize in delivering scalable models that transform complex data into actionable insights and automated workflows. My expertise spans time series analysis, image processing and text mining, with a focus on Python and advanced libraries such as PyTorch, scikit-learn, huggingface and langchain.

I apply best practices in software engineering and A.I. to ensure clean, maintainable code and have successfully implemented end-to-end data projects, from conceptualization to deployment. I am also proficient in building data transformation pipelines with SQL and pandas, ensuring efficient data handling and integration in production environments.

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Machine Learning Python Deep Learning PyTorch Econometrics SQL Deep Neural Network Statistik Git NLP Computer Vision Time Series LLMs Linux Big Data Analytics pandas | numpy | scipy Forecasting Docker MLFlow Artificial Intelligence (AI)

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

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Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

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