Dmitriy Drichel
Data Scientist
Erfahrungen
Freelance Data Scientist
Merck KgaA
Development, testing and benchmarking of bioinformatics workflows in oncological research.
- python, R, bash
- AWS, Genedata Profiler, Rstudio, Gitlab
- germline and somatic variant calling, performance evaluation
- genomics and transcriptomics, data acquisition and data simulation
Freelance Data Scientist
Boehringer Ingelheim (BI-X)
Development and implementation of a genomics/transcriptomics analysis pipeline. Data acquisition, data engineering, data analysis, software development.
- python, R, high-performance computing, AWS, docker
- DevOps, CI/CD
- biomolecular data, sequence analysis, high-dimensional data
- genomics, transcriptomics, epigenomics
- Oxford Nanopore, PacBio, Illumina NGS, microarray technology
- development of novel algorithms and statistical methodologies
- application and product development, stakeholder management
Freelance Application Developer
Miltenyi Biotec
Development of python applications for flow cytometry data acquisition and analysis. Engineering of custom applications for embedded systems.
- python, pandas, scikit-learn, jupyter
- unsupervised machine learning, clustering
- project management, documentation: scrum, agile, jira, confluence
- version control systems: git, svn, jenkins
Freelance Data Scientist
Jahnes GmbH
Implementation of a machine learning model in a leading German bank. Data extraction, data engineering, exploratory and descriptive analysis, visualization.
- python, pandas, scikit-learn, matplotlib, jupyter, SQL
- risk analysis, consumer loans
Postdoc
Cologne Center for Genomics (CCG), University of Cologne
Development of analysis software for big genomic data sets. Development of novel statistical methodology and algorithms, management of small teams.
- C/C++, python, Perl, R
- epidemiological studies, scientific writing
- big data analysis, high-performance computing
Research Associate
German Center for Neurodegenerative Diseases (DZNE)
Development of application software for analysis of biological data. Development and evaluation of novel statistical methodology, high-performance computing.
- C/C++, python, OpenMP
- Evaluation and optimization of data handling pipelines
- Large-scale simulations of biological data sets
Teaching Assistant
Institute for Theoretical Physics, Leibniz University Hannover and Institute for Physiology, Hannover Medical School
Zusammenfassung
Freelance data scientist with an interdisciplinary background in physics, bioinformatics, genomics, and epidemiology. Focused on data science and software development, with applications in biotech, life science, and pharmaceutical industries. Twelve years of experience analyzing and integrating complex data sets as well as developing, testing, and deploying software applications and analysis pipelines.
Key Skills and Interests
- Machine learning, statistics and big data analytics
- Genomics, transcriptomics, epigenomics, flow cytometry
- Software development (Python, C/C++, R, Perl, awk, bash)
- Cloud computing, AWS, docker
- System integration, analysis pipelines
- Project management, project documentation
- Exploratory and predictive analytics, modelling and simulation
- High-performance computing, parallelization
- Communicating results, reporting and visualization
Sprachen
Ausbildung
University Clinic Bonn
PhD · Epidemiology · Bonn, Deutschland
National University of Ireland, Maynooth
Mathematics and Physics
Trinity College, Dublin
Mathematics and Physics · Dublin, Irland
Zertifikate & Bescheinigungen
AWS Certified Machine Learning – Specialty
AWS
AWS Certified Solutions Architect - Associate
AWS
AWS Certified Cloud Practitioner
AWS
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