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/CICD)
Technical Leadership
Reinforcement Learning
Generative AI for Data Augmemntation
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 (Postdoc) — 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
Selected Achievements
- -Developed an iterative optimization system that reduced operational costs and enhanced innovation in product development processes.
- -Successfully delivered multiple predictive models in the FinTech domain, including customer credit scoring and best estimate forecasting.
- -Authored several publications on natural language processing presented at leading international venues.
- -Created and released multiple language resources, along with standard training and evaluation datasets.
- -See my extended CV here.
Technical Stack
Python · Java · TensorFlow · PyTorch · Scikit-Learn ·
GpyTorch · FastAPI · Flask · Plotly Dash · SQL/NoSQL · MS Azure . Prophet . Optuna . BoTorch .
Hugging Face Transformers
This page last edited on 19 October 2025.
