Data analysis, data science
Aktualisiert am 16.09.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 16.09.2025
Verfügbar zu: 100%
davon vor Ort: 100%
Python
Java
Machine Learning
Data Analyst
SQL
German
B2
English
C1
Russian
Mother tongue

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

2023 - 2024: Designed and implemented algorithms


Role: Postdoctoral Researcher

Customer: Center for Free-Electron Laser Science (CFEL), DESY, Hamburg


Tasks:

  • Designed and implemented algorithms in Python for large-scale scientific data analysis.
  • Applied machine learning methods (classification, regression, neural networks) to extract insights from complex datasets.
  • Supervised and mentored graduate students in data processing and model implementation.

2021 - 2023: Developed and optimized data-driven models


Role: Postdoctoral Researcher

Customer: CFEL, DESY, Hamburg


Tasks:

  • Developed and optimized data-driven models for simulation and analysis of physical processes.
  • Built scalable algorithms for predictive analysis using TensorFlow and PyTorch.
  • Collaborated in interdisciplinary teams to improve computational workflows and research outputs.

2017 - 2021: Developement simulation software


Role: Research Assistant (PhD)

Customer: CFEL, DESY, Hamburg


Tasks:

  • Implemented machine learning pipelines (SVM, Random Forest, Neural Networks) to analyze experimental datasets.
  • Developed simulation software in Python for high-performance computing environments.
  • Created automated workflows for data preprocessing, visualization, and analysis.

2015 - 2017: Simulations and algorithm development for research projects


Role: Student Assistant

Customer: Lomonosov Moscow State University, Moscow, Russia


Tasks:

  • Conducted simulations and algorithm development for research projects in nuclear physics.
  • Assisted in university lab sessions, teaching and mentoring junior students.
Various Projects

Tasks:

  • GitHub - Personal projects in data analysis and ML.
  • Kaggle - Participation in ML competitions and datasets.

Aus- und Weiterbildung

Aus- und Weiterbildung

2017 - 2021

Physics

Ph.D.

University of Hamburg / DESY, Hamburg, Germany


Key Focus:

Theoretical Atomic and Molecular Physics


2015 - 2017

Nuclear and Particle Physics

M.Sc.

Lomonosov Moscow State University, Moscow, Russia


2011 - 2015

Physics

B.Sc.

Lomonosov Moscow State University, Moscow, Russia

Kompetenzen

Kompetenzen

Top-Skills

Python Java Machine Learning Data Analyst SQL

Produkte / Standards / Erfahrungen / Methoden

Profile

Software developer with a PhD in Physics and over 7 years of experience in data analysis, algorithm development, and machine learning. Skilled in Python, SQL, and cloud technologies (AWS, Azure). Strong background in simulation of complex systems, big data processing, and mentoring. Seeking to apply analytical and programming expertise to industry challenges in data-driven decision making.


Technical Skills

Data Analysis

  • NumPy
  • Pandas
  • SciPy
  • Scikit-learn


Machine Learning

  • Supervised/unsupervised ML
  • Deep Learning (TensorFlow, PyTorch)


Big Data

  • Spark
  • Hadoop


Cloud

  • AWS
  • Azure


Visualization

  • Matplotlib
  • Seaborn
  • Plotly
  • Matlab
  • Power BI


Version Control

  • Git
  • GitHub/GitLab


Workflow Automation

  • Airflow


APIs / Scraping

  • GraphQL
  • BeautifulSoup
  • Scrapy

Programmiersprachen

Python
SQL
C++
CUDA
Fortran

Datenbanken

MySQL
Google Cloud SQL
MS Azure SQL

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

2023 - 2024: Designed and implemented algorithms


Role: Postdoctoral Researcher

Customer: Center for Free-Electron Laser Science (CFEL), DESY, Hamburg


Tasks:

  • Designed and implemented algorithms in Python for large-scale scientific data analysis.
  • Applied machine learning methods (classification, regression, neural networks) to extract insights from complex datasets.
  • Supervised and mentored graduate students in data processing and model implementation.

2021 - 2023: Developed and optimized data-driven models


Role: Postdoctoral Researcher

Customer: CFEL, DESY, Hamburg


Tasks:

  • Developed and optimized data-driven models for simulation and analysis of physical processes.
  • Built scalable algorithms for predictive analysis using TensorFlow and PyTorch.
  • Collaborated in interdisciplinary teams to improve computational workflows and research outputs.

2017 - 2021: Developement simulation software


Role: Research Assistant (PhD)

Customer: CFEL, DESY, Hamburg


Tasks:

  • Implemented machine learning pipelines (SVM, Random Forest, Neural Networks) to analyze experimental datasets.
  • Developed simulation software in Python for high-performance computing environments.
  • Created automated workflows for data preprocessing, visualization, and analysis.

2015 - 2017: Simulations and algorithm development for research projects


Role: Student Assistant

Customer: Lomonosov Moscow State University, Moscow, Russia


Tasks:

  • Conducted simulations and algorithm development for research projects in nuclear physics.
  • Assisted in university lab sessions, teaching and mentoring junior students.
Various Projects

Tasks:

  • GitHub - Personal projects in data analysis and ML.
  • Kaggle - Participation in ML competitions and datasets.

Aus- und Weiterbildung

Aus- und Weiterbildung

2017 - 2021

Physics

Ph.D.

University of Hamburg / DESY, Hamburg, Germany


Key Focus:

Theoretical Atomic and Molecular Physics


2015 - 2017

Nuclear and Particle Physics

M.Sc.

Lomonosov Moscow State University, Moscow, Russia


2011 - 2015

Physics

B.Sc.

Lomonosov Moscow State University, Moscow, Russia

Kompetenzen

Kompetenzen

Top-Skills

Python Java Machine Learning Data Analyst SQL

Produkte / Standards / Erfahrungen / Methoden

Profile

Software developer with a PhD in Physics and over 7 years of experience in data analysis, algorithm development, and machine learning. Skilled in Python, SQL, and cloud technologies (AWS, Azure). Strong background in simulation of complex systems, big data processing, and mentoring. Seeking to apply analytical and programming expertise to industry challenges in data-driven decision making.


Technical Skills

Data Analysis

  • NumPy
  • Pandas
  • SciPy
  • Scikit-learn


Machine Learning

  • Supervised/unsupervised ML
  • Deep Learning (TensorFlow, PyTorch)


Big Data

  • Spark
  • Hadoop


Cloud

  • AWS
  • Azure


Visualization

  • Matplotlib
  • Seaborn
  • Plotly
  • Matlab
  • Power BI


Version Control

  • Git
  • GitHub/GitLab


Workflow Automation

  • Airflow


APIs / Scraping

  • GraphQL
  • BeautifulSoup
  • Scrapy

Programmiersprachen

Python
SQL
C++
CUDA
Fortran

Datenbanken

MySQL
Google Cloud SQL
MS Azure SQL

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