Behrang QasemiZadeh, PhD
Senior Data Scientist — Full-Stack End-to-End R&D
Strategic senior data scientist with strong academic and industrial experience delivering end-to-end ML products — from business ideation, value & risk assessment, and technology evaluation to production-grade deployment on cloud or local infrastructures.
Core Competencies
Machine Learning
Probabilistic Models
Bayesian Optimization Models
Experimental Design
Strong Programming
Deep Learning
NLP & Information Extraction
Large Language Models
LV-Probabilistic Context-Free Grammars
Random Projections
MLOps & Deployment
Full-Stack Development
Product & Value Assessment
Cloud and DevOps (MS AZURE)
Technical Leadership
Professional Experience
Senior Data Scientist — Henkel Center of Excellence for Data Analytics
- Led end-to-end delivery of ML products from business concept to production; aligned technical solutions with ROI and risk assessments.
- Designed and deployed ML apps for both big and small data problems
- predictive FinTech methods in various usecases: Time Series Forecasts, Last Best Estimate and Annual Planning, Customer Credit Scoring, ...
- Labratory data management (search and information extraction systems)
- Iterative Bayesian Methods for optimizing product formula development process.
Research Scientist (PhD) — University Duesseldorf
- Research on hierarchical Bayesian semantic analysis for small corpora. (semantic frame induction using probabilistic context free grammars)
- Published multiple peer-reviewed papers, supervised graduate students, developed open research software and resources and organized international competitions at top scientific venues.
Education
PhD, Computer Science, 2015
MSc, Artificial Intelligence & Robotics, 2006
BSc, Software Engineering, 2003
Technical Stack
Python · Java · TensorFlow · PyTorch · scikit-learn · GpyTorch · FastAPI · Flask · Plotly Dash · SQL/NoSQL · Git · Linux · MS Azure · CI/CD
Selected Achievements
- Delivered ML system that reduced operational costs and added competitive edge through automation and predictive optimization.
- Multiple publications in the various areas of natural language procesing.
- Implemented hierarchical Bayesian semantic models and an evaluation framework for unsupervised learning of frame semantics.
- Developed and published multiple language resources.
- Implemented a nautal language dialogue system for the retrieval of surveillance videos in public transport system
- See a more extended CV of mine here.
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This page last edited on 06 October 2025.
