
Andrew Gray
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Andrew Gray
- Current 6 years and 10 months, since Aug 2019
Independent Data Engineering Training & Projects
Self-Directed Projects & Training
Focused on formal retraining and independent technical development alongside family responsibilities. • Completed the Bosch / Udacity Data Engineering Nanodegree (Python, SQL, data modeling, ETL concepts, workflow automation) • Applied course concepts in self-directed Python projects focused on data validation and reproducible data processing • Maintained strong foundations in Python, Linux-based environments, and structured data workflows • Authored a 65,000-word science reference book and created educati
- 3 years and 1 month, Aug 2016 - Aug 2019
Postdoctoral Researcher (Computational Chemistry & Data Processing)
TU Munich
Postdoctoral role focused on large-scale computational research with a strong emphasis on data processing, automation, and reproducible workflows. • Built Python and Bash pipelines to process and validate large simulation datasets produced on HPC clusters • Automated data preparation and analysis workflows across multiple research projects, reducing manual processing and improving reproducibility • Worked extensively in Linux-based HPC environments, managing batch jobs and large volumes of structured outpu
- 2012 - 2016
Postdoctoral Researcher (Computational Chemistry)
Charles University in Prague
Postdoctoral research role focused on computational analysis of chemical reaction systems, with an emphasis on data processing and reproducible workflows. • Built Python-based analysis scripts to process and compare reaction energy profiles across multiple computational methods • Developed workflows to extract, transform, and visualise structured output data from different simulation packages • Worked with heterogeneous datasets and inconsistent output formats, requiring careful validation and standardisat
Ausbildung von Andrew Gray
- 5 months, Aug 2022 - Dec 2022
Data Engineer for AI Applications
Udacity
Completed a structured Data Engineering Nanodegree focused on designing and building data pipelines for analytics and AI-oriented use cases. Covered relational and NoSQL data modeling, cloud data warehousing, ETL workflows, and data lake concepts, with hands-on projects involving Spark-based proces
- 2007 - 2012
Doctor of Philosophy (PhD)
The University of Edinburgh
Doctoral research combining mass spectrometry data with computational modelling to study complex chemical systems. Involved large-scale data analysis, comparison of experimental and simulated results, and validation of computational models against experimental measurements. Developed scripts and wo
- 2002 - 2007
Master of Chemistry
The University of Edinburgh
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