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Dany-Armand Djeudeu-Deudjui

Senior Data Scientist

Dany-Armand Djeudeu-Deudjui
Witten, Germany

Experience

Sep 2025 - Present
5 months

Senior Data Scientist

ibg NDT GmbH

  • Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
  • Detect latent patterns in ECT data that reflect intrinsic material characteristics
  • Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
  • Apply Bayesian Structural Equation Modeling for advanced data analysis
Feb 2025 - Sep 2025
8 months

Senior Statistician

Africon GmbH

  • Forecasts of vehicle parc trends with detailed visualizations and summaries
  • Space-time and multilevel frameworks
Nov 2024 - Jan 2025
3 months

Senior Statistician

3d-statistical-learning.com

  • Provided statistical analysis and consulting for biomedical and academic research projects
  • Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding
  • Outcome analysis of shoulder and elbow function in brachial plexus lesions: the impact of lesion localization, surgical interventions, and time on postoperative recovery
  • Designed and implemented a predictive model for forecasting the next integer in a complex data structure, alongside developing a user-friendly web application for model deployment and application
May 2024 - Oct 2024
6 months

Senior Statistician (Contractor)

Randstad Professional GmbH at Roche Diagnostics

  • Provided statistical consulting and experimental design support for product development processes in biostatistics and data science
  • Developed and implemented robust mathematical models for data analysis to support data-driven decision-making
  • Customized algorithms for precise and reliable analysis of physical measurement data
  • Integrated biometric methods into regulatory compliance documents, considering requirements for product approvals
  • Prepared statistical rationales to support product approvals and decision-making processes
Sep 2023 - Apr 2024
8 months

Biostatistician

Medical Haensler GmbH

  • Conducted one-proportion test vs. exact binomial test for difference in proportion of patients with improvement of best-corrected visual acuity (BCVA)
  • Provided statistical input
  • Analyzed data
  • Wrote statistical analysis plan (SAP)
May 2023 - Jul 2023
3 months

SAS Trainer

DAK-Gesundheit KdöR

  • Provided SAS training for statistical methods for pattern recognition and modeling
  • Provided SAS training for automated reporting for insurance and billing data
  • Provided SAS training for data cleaning using validation techniques
  • Provided SAS training for data analysis, management, and visualization
Sep 2022 - May 2023
9 months

Senior Data Scientist (Contract)

AOK-Bundesverband eGbR

  • Developed and optimized machine learning models for predicting sick pay, contribution margins, and customer segments
  • Modeled risk profiles and performance data to improve predictive accuracy
  • Implemented predictive models to reduce customer churn and increase satisfaction
  • Quantified risks using data to support strategic decision-making
May 2021 - Aug 2022
1 year 4 months

Statistician (Freelance)

3d-statistical-learning.com

  • Provided statistical analysis and consulting for biomedical and academic research projects including impact of nutrition on albumin and BMI; effect of excessive intraoperative fluid administration on clinical outcomes in orthopedic patients; effect of coagulation on health outcomes; impact of volume administration on mortality; effect of Cement Team Time-Out: pre vs. post introduction comparison on mortality, volume, catecholamines, wiring
  • Conducted training in machine learning and statistics with R, SAS, and Python
  • Conducted a comprehensive meta-analysis on "Effectiveness of Ranibizumab in Diabetic Macular Edema Compared to Control Groups Without Ranibizumab"
  • Supported Bachelor’s, Master’s, and PhD research with data-intensive methodologies
Jun 2016 - Aug 2022
6 years 3 months

Lecturer

Faculty of Statistics, TU Dortmund University

  • Taught Bayesian statistics (Bachelor’s and Master’s programs)
  • Taught statistical decision theory (Master’s in statistics, data science, econometrics)
  • Taught statistical methods in epidemiology
  • Led seminars in biometry
  • Taught advanced statistical learning
Apr 2016 - Aug 2022
6 years 5 months

Research Assistant, later Postdoctoral Researcher

Technische Universität Dortmund KdöR

  • Taught courses in Bayesian statistics, statistical learning, and Big Data methods
  • Supervised theses on statistics and machine learning, focusing on Big Data applications
  • Advised students on data-intensive projects, providing guidance for academic success
  • Mentored international students, helping them excel in data-driven disciplines
Apr 2016 - Apr 2021
5 years 1 month

Biostatistician

University Hospital Essen

  • Conducted statistical data analysis and reporting
  • Developed statistical analysis plans for clinical research
  • Assessed data quality and identified sources of error in large datasets
  • Performed power analyses and sensitivity tests to ensure robust models
  • Developed statistical and mathematical models to analyze large data volumes
May 2015 - Mar 2016
11 months

Data Scientist Intern

GKV-Spitzenverband Berlin

  • Operationalized and provided measurements of persistence of physician-coded diagnoses as a prevalence trend, using a persistence indicator and unsupervised classification approach
  • Analyzed the effects of changes in the prevalence of ICD-coded diagnoses in a highly constrained regression model for calculating the so-called 'diagnosis-based' morbidity change rate in statutory health insurance
Sep 2010 - Aug 2011
1 year

Mathematics Teacher

Lycée de Yaoundé I, Cameroon

Skills

  • Data Science, Big Data, Statistical Consulting
  • End-to-end Machine Learning (Google Cloud, Microsoft Azure, Ibm Cloud, Aws)
  • Statistical & Mathematical Modeling
  • Power And Sensitivity Analyses, Simulation Methods
  • Reporting & Documentation, Analytical Plans
  • Programming: Python, R, Sql, Sas, Matlab
  • Tools: Microsoft Azure, Databricks, Nosql, Arcgis, Tableau, Power Bi, Git, Jira

Languages

French
Native
German
Advanced
English
Advanced

Education

University of Yaoundé I

Doctoral Studies · Mathematics · Yaoundé, Cameroon

Technical University of Dortmund

M.Sc. · Statistics · Dortmund, Germany

University of Yaoundé I

M.Sc. · Mathematics · Yaoundé, Cameroon

...and 2 more

Certifications & licenses

AI In Healthcare Specialization

Stanford University, Coursera

Biostatistics In Public Health Specialization

Johns Hopkins University, Coursera

Certified Artificial Intelligence Practitioner

CertNexus, Coursera

Clinical Trials Operations Specialization

Johns Hopkins University, Coursera

Design And Interpretation Of Clinical Trials

Johns Hopkins University, Coursera

Drug Development Product Management Specialization

University Of California San Diego, Coursera

Google Machine Learning Engineer Professional Certificate

Google Cloud, Coursera

IBM Applied AI Professional Certificate

IBM Developer Skills Network

IBM Full Stack Software Developer Professional Certificate

IBM Developer Skills Network

IBM Machine Learning Professional Certificate

IBM Developer Skills Network

Introduction To Good Clinical Practice

Novartis, Coursera

Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate

Microsoft, Coursera

Microsoft Azure Data Fundamentals DP-900 Exam Prep

Microsoft, Coursera

Python And Statistics For Financial Analysis

The Hong Kong University Of Science And Technology, Coursera

Python For Data Science, AI & Development

IBM Developer Skills Network

Understanding Clinical Research: Behind The Statistics

University Of Cape Town, Coursera

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