PK

Dr. Patrick Krennmair

Senior Data Scientist and Researcher

Vienna, Austria

My background spans research, consulting, and team leadership at the intersection of technology and global development. I began in academia, using geo-spatial machine learning to explore poverty and inequality. That foundation in digital transformation and international development still shapes how I think today. Most recently, I’ve led teams working on generative AI. I bring an interdisciplinary mindset and a strong passion for AI to every project I take on.

Generative AIMachine LearningApplied EconometricsDigital Transformation

Research Interests

Generative AI

Exploring cutting-edge AI technologies and their practical applications

Machine Learning & Statistics

Predictive methods and computational statistics for data-driven insights

Economic Development

Applied econometrics and small area estimation for emerging markets

Digital Transformation

Bridging traditional economics with modern data science approaches

Education

Dr.rer.pol. in Applied Statistics

2019 - 2022

Freie Universität Berlin

MSc in Economics

2016 - 2018

Universität Wien

MA in Development Studies

2016 - 2019

Universität Wien

BSc in Statistics

2015 - 2018

Universität Wien

BSc in Economics

2013 - 2016

Universität Wien

Professional Experience

My journey in data science, statistics, and consulting spanning academia and industry

Senior Data Scientist and Team Lead

Current
Dynatrace
July 2025 - Present
Vienna, AustriaFull-time

I lead a high-impact team focused on advancing Generative AI capabilities within Dynatrace CoPilot. My work combines hands-on data science with leadership and mentoring. I drive the deployment of LLM-powered applications into production, ensuring scalable and reliable performance in cloud environments. Collaboration across product and engineering and research teams is central to aligning our technical innovation with business goals.

Key Achievements:

  • Team Leadership & Mentoring
  • Generative AI & LLMs
  • Cloud-native Deployment
  • Agile Collaboration
Accenture Logo

Data Science Consultant

Accenture
2022 - June 2025
Vienna, AustriaFull-time

Leading data science initiatives and digital transformation projects for enterprise clients. Specializing in machine learning implementation, statistical analysis, and AI strategy consulting.

Key Achievements:

  • Implementing generative AI solutions for business processes
  • Developing predictive models for operational optimization
  • Leading cross-functional teams in digital transformation projects
  • Providing statistical consulting for strategic decision making
Freie Universität Berlin Logo

PhD Researcher & Statistical Consultant

Freie Universität Berlin & fu:stat
2019 - 2022
Berlin, GermanyAcademic / Consulting

Conducted doctoral research in applied statistics and provided specialized statistical consulting through the fu:stat unit to researchers, institutions, and businesses.

Key Achievements:

  • Conducted research in small area estimation techniques
  • Published peer-reviewed papers on computational statistics
  • Applied econometric methods to real-world problems
  • Designed and analyzed surveys and experiments
  • Developed custom statistical solutions for clients
  • Supervised and trained students and clients

Technical Expertise

🤖

AI/ML & Advanced Analytics

Core AI & Machine Learning

Generative AIDeep LearningNeural NetworksMachine LearningPredictive AnalyticsMonte Carlo Simulation
💻

Programming & Data Engineering

Languages & Infrastructure

PythonRData ProcessingData EngineeringETL ToolsBig DataScientific Programming
📊

Research & Statistical Methods

Statistical Analysis

Applied ResearchStatistical Data AnalysisGeo-Spatial StatisticsData ModelingData VisualizationEconomic Research
🎯

Professional & Consulting

Leadership & Communication

Stakeholder ManagementProject ManagementConsultancy ServicesPublic SpeakingScientific WritingUniversity Teaching

Publications & Research

My academic contributions, automatically updated from my Google Scholar profile.

59
Total Citations
3
h-index
1
i10-index
View Profile on Google Scholar
Sort by:
StatisticsPeer-reviewed JournalWorking Paper

Flexible domain prediction using mixed effects random forests

P Krennmair, T Schmid

Journal of the Royal Statistical Society Series C: Applied Statistics 71 (5 …, 2022

45
2022
StatisticsWorking Paper

Analysing opportunity cost of care work using mixed effects random forests under aggregated census data

P Krennmair, N Würz, T Schmid

arXiv preprint arXiv:2204.10736, 2022

6
2022
StatisticsPeer-reviewed Journal

Tree-based machine learning in small area estimation

P Krennmair, N Wurz, T Schmid

The Survey Statistician 86, 22-31, 2022

5
2022
Statistics

The R package SAEforest

P Krennmair, MP Krennmair

R package version 1 (0), 2022

3
2022
StatisticsPeer-reviewed Journal

Analysing opportunity cost of care work using mixed effects random forests under aggregated auxiliary data

P Krennmair, N Würz, T Schmid

Journal of the Royal Statistical Society Series C: Applied Statistics, qlaf031, 2025

0
2025
StatisticsDissertation

A Framework for the Estimation of Disaggregated Statistical Indicators Using Tree-Based Machine Learning Methods

P Krennmair

0
2023
StatisticsPeer-reviewed JournalWorking Paper

Flexible domain prediction using mixed effects random forests

T Schmid, P Krennmair

Otto-Friedrich-Universität 71 (5), 2022

0
2022
EconomicsPeer-reviewed Journal

Die Macht der Schulden: Interdisziplinäre Perspektiven auf die sozioökonomischen Implikationen von Staatsverschuldung im Kontext der Sustainable Development Goals

M Thalhammer, P Krennmair

Shrinking Spaces: Mehr Raum für globale Zivilgesellschaft, 171-208, 2020

0
2020
EconomicsWorking Paper

Die Macht der Schulden: Interdisziplinäre Perspektiven auf die sozioökonomischen Implikationen von Staatsverschuldung im Kontext der Sustainable Development Goals

P Krennmair, M Thalhammer

0

Get In Touch

I'm always interested in discussing new opportunities, research collaborations, or consulting projects. Let's connect and explore how we can work together.

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Consultation Areas

Data Science Strategy
Machine Learning Implementation
Statistical Analysis
AI Integration
Digital Transformation
Research Collaboration
Statistical Consulting
Academic Projects

© 2025 Dr. Patrick Krennmair, Vienna.

Passionate about data science, statistics, and digital transformation.