Gernot Supp
Cloud Computing & Data Engineering
Experience
Cloud Computing & Data Engineering
European Headquarter Of Retail-Network In 12+ Countries
- Developing robust, cloud-based data pipelines within Azure Data Engineering Stack using Databricks (Apache Spark/PySpark, Python, SQL), integrating diverse data sources via REST and message-based output ports and ensuring data quality with defined performance SLAs
- Designing and implementing data strategies for comprehensive data life-cycle management, including provisioning, cleansing and anonymization, aligning with principles of clean architecture
- Building high-performance data aggregation for KPI dashboards based on multiple data sources and systems, contributing to data meshing principles and designing scalable data flow architectures with Git-based version control
Cloud Computing & Data Engineering
KiK Textilien Und Non-Food GmbH
- Cloud-based data processing and engineering: building Azure-Cloud infrastructures and developing batch-based data pipelines using Databricks (PySpark, Python, SQL)
- Integrating diverse data sources (APIs, files) and ensuring data quality through quality gates
- Designing and implementing processes for data provisioning, cleansing and anonymization for Europe-wide CRM data assets
- Establishing Unity Catalog in Azure Databricks for managing and organizing data assets and designing the overall data flow architecture
Data Engineering & Python Development
KiK Textilien & Non-Food GmbH
- Designing and implementing database requests via API interfaces
- Performing systematic data evaluation and data cleaning in productive CRM environments
- Crafting actionable data optimization strategies for enhancing data pipelines and overall data quality
Data Science & Scientific Research Advisor
HealthHero Germany GmbH
- Supporting data-driven and evidence-based decision making across the organization
- Performing systematic data quality control and scientific data verification to ensure robustness of analyses and conclusions
Lead Data & Insight Generation
Unilever Deutschland GmbH
- Examining existing scientific research of potential partner institutions to support strategic decisions
- Defining research data formats and data storage types for effective data management
- Conducting multi-level exploration of customer engagement platforms
- Evaluating ad campaigns and their performance towards KPI goals
- Designing and implementing iterative cycles of user experiments in separate cohorts, including digital experimental setup (hypothesis), data collection, analysis and statistical evaluation
- Conducting qualitative and quantitative user research
- Defining a mobile (iOS/Android) and web analytics tracking concept, including data-layer definition, for an ecommerce web shop and reviewing technical implementation (Adobe Analytics)
- Managing data ingestion, availability and accessibility, including batch-based data pipelines
Lead Advisor Data Science & Medical Affairs
Dr. Willmar Schwabe GmbH & Co. KG, Sonormed GmbH
- Developing and introducing a structured evaluation concept for a digital medical therapeutic intervention to collect empirical evidence of patients' benefits, leading to initial approval via the German healthcare regulators' "DIGA fast-track" process by the Federal Institute for Drugs and Medical Devices (BfArM)
- Conducting Python development using libraries such as Pandas, NumPy, Seaborn and Matplotlib for systematic data investigation, statistical analysis, visualization and reporting of outcomes to all stakeholders, including regulators
- Defining data flow and data pipelines to support evidence generation and regulatory reporting
Lead User Research & Insight Generation
Colgate-Palmolive Europe
- Leading ideation, definition and implementation of quantitative and qualitative research on user behavior towards innovative marketing concepts
- Building data pipelines integrating multiple data sources such as social media, ad campaigns and ecommerce systems
- Developing and coding KPI dashboards for experiment monitoring
- Performing data analysis, statistical evaluation and data visualization
- Evaluating performance of ad campaigns towards KPI goals
- Implementing analytics solutions using Google Analytics and Google Tag Manager
Lead Data Science & Insights Generation
Unilever Deutschland GmbH
- Investigating and expanding a recipe platform for Unilever brands with ecommerce capability across web and native apps for iOS and Android
- Designing and implementing iterative, multi-stage user experiments to innovate product features and service components following lean product development principles
Chief Science Officer
Sonormed GmbH
- Guiding scientific affairs for four digital health applications in the hearing domain, including stakeholder management with medical boards of health insurance, clinics and associations of medical specialists
- Developing the medical concept for two digital health applications and supporting their technical development, including data collection and feedback loops to steer product development (patient-driven product development and optimization)
- Conducting iterative cycles of qualitative and quantitative user research, including behavioral analysis, in-depth interviews and topic analysis of verbal responses
- Defining analytics tracking concepts with consistent events and conversion targets for web, iOS and Android apps using tools such as Google Analytics and Countly
- Conceptualizing intended use, designing data research and compiling information for Clinical Evaluation Report (CER) documents to achieve medical device CE mark
Chief Scientist, Data Manager & Co-Founder
TripRebel GmbH
- Co-founding and developing a tech-centered travel startup that won the "EU Tech All Stars" award of the European Commission (2015)
- Leading lean product development and defining the data analytics strategy and execution
- Designing and operating user experiment pipelines to drive product improvements and business growth
MEG Group Leader
Institute of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf
- Leading a research group focused on magnetoencephalography (MEG) within the Institute of Neurophysiology and Pathophysiology
- Coordinating research on neurophysiological mechanisms of human brain function and behavior
Postdoctoral Associate
Institute of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf
- Conducting multivariate data (time-frequency) analysis and statistical testing of neurophysiological signals
- Investigating neurophysiological characteristics of brain states using MEG/EEG
- Studying neural correlates of clinically induced loss of consciousness (anesthesia)
- Researching global brain states and their impact on information processing in sensory systems
- Applying measures of macroscopic brain signals, including Granger causality, coherence and phase synchrony
Postdoctoral Associate
Max-Planck-Institute for Human Cognitive and Brain Sciences
- Investigating global brain states and their impact on information processing in sensory systems
- Applying advanced measures of macroscopic brain signals such as Granger causality, coherence and phase synchrony to study human cognition and brain dynamics
Data Mining Bootcamp Instructor – Scientific Programming
University Medical Center Hamburg-Eppendorf (UKE)
- Teaching a data mining bootcamp on scientific programming for the SFB Graduate School
- Covering practical methods for data analysis, programming and reproducible research in a biomedical context
Webinar Instructor – Introduction to Scientific Programming in R
University of Hamburg, Department of Informatics
- Delivering a webinar series on introduction to scientific programming in R
- Teaching core R programming concepts, data handling and basic analysis techniques for students and researchers
Summary
Making data available/accessible and generating insights in a systematic, reproducible way lies at the heart of science. This is the kind of clarity I strive to provide for the entire data pipeline, from supply to data transformation, consumption and analysis. I am passionate about supporting teams in resolving their data needs and reaching compelling data-driven decisions. With my background in science & research (PhD: neurobiology; human brain & behavior) as well as extensive experience in various industries (FMCG, Ecommerce, Pharma/Medical etc.), I bring comprehensive data power, analytical insights and engineering expertise with strong coding skills to companies of all sizes.
Skills
- Data Skills: Data Engineering, Data Science, Digital Research, Eda & Statistics
- Programming Languages: Python, Sql, R & Matlab
- Tech Stack: Apache Spark, Azure, Databricks, Airbyte, Aws, Apache Kafka, Clickhouse, Dbt, Docker, Confluent, Jinja, Jupyter, Preset, Snowflake, Git
Languages
Education
Karl-Franzens University / University of Technology
PhD in Biology, Institute of Zoology, Department of Neurobiology and Animal Behavior · Biology · Graz, Austria
Karl-Franzens University
M.S. in Biology · Biology · Graz, Austria
Certifications & licenses
Data Engineering Bootcamp
Data Engineer Camp
Google Analytics 4 (GA4) Essential & Advanced Training
LinkedIn Learning
Google Analytics Certification
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