Dr. Binish Batool

Available (Physicist/Data Scientist) ✅

Freiberuflich, Data Scientist, DrivenData
Dortmund, Deutschland

Fähigkeiten und Kenntnisse

Management
Medical Imaging
Physics
Research and Development
C/C++
Pytorch
XGBoost
Data Science
Statistical Modelling
Reproduzierbarkeit
Mathematica
Datenvalidierung
Bayes
Datenerfassung
Keras
Python
Linux
C++
Automation
GitHub
SQL
Engineering
Data visualisation
Analysis
Medical data
Application
Wald
Data Analysis
Technology
German
Big Data
Python pandas
Matplotlib
Programming Language
NumPy
PyTorch
MatLab
Database
Statistics
Data strategy
Strategy Development
Deutsch
Data processing
Data Quality
GitLab
Documentum
Dynamics
Server
Company data
Mathematics
Mathematical Modeling
ETL
Statistical Analysis
Artificial intelligence
Computer Vision
ML
Neural Networks
Jupyter
Natural Language Processing
Code
Computer Science
ROOT
Bash (Unix shell)
AWS
English Language
Latex
Inference
Quantitative anlaysis
SHAP
Computed Tomography (CT)
Automated ML Pipelines
High Energy Physics
Uncertainty Quantification
Explainable AI
MiNT
Deep learning
Machine Learning
Information Engineering
Project Management
KPI
Deutschland
XING
Consulting
Bank
Finance
Health
Transport
Yoga
Internet
Statistik
Forschung und Entwicklung
Datenanalyse
Projektmanagement
Regressionsanalyse
Ensemble-Methoden
Docker
Analytics
Dortmund
Data Scientist
Datenwissenshaft
AI
Deep Learning
KI
Medizinische Physik
Physik
Git
CERN
Heidelberg
Siegen
Deutsche Krebforschungszentrum
Teilchenphysik
DFG
Particle Physics
Klinische Forschung
Forschung Entwicklung
Germany
Arbeitsrecht
Visualization
Verwertbare Kentnisse
Bildanalyse
Statistische Analysen
Prognosen
Interpreting
scikit-learn
Promotion
Doktorat
PhD
Master's degree
Business English
Arbeitserlaubnis
Flexible Arbeitszeiten
Berlin
Düsseldorf
Hamburg
Heidelberg Germany
München
Frankfurt
Stuttgart
Time series analysis
Zeitraumanalyse
Temporale Daten
Temporal data
Image analysis
Bildenanalyse
English
German as a foreign language
Software Development
Image Consulting
MS Office
Biology
Microbiology
Biotechnology
Feature engineering
Large language models
Advisory Services
Supervisor
Modelling
Simulation
Fusion
Neutrino
Neutrino Transport
Scientific Project Management
Science Management
Science Communication
Moderation
Scientific research
Research Management
Scientific literature
Neugier
Critical thinking
Problem Solving
Analytical skills
International experience
Presentation skills
trustworthy
Enthusiasm
IT affinity
innovative
Strukturierte Arbeitsweise
Systems Thinking
Team work
Commitment
Research
Medical documentation
Science
Scientific Writing
Publication
Speech
Teaching position

Werdegang

Berufserfahrung von Binish Batool

  • Bis heute 2 Monate, seit Aug. 2026

    Scientific Advisor

    Turkiye Integrated Fusion Network

    - Global Collaboration: Drive cross-border partnerships across academia, national labs, and industry. - Mentorship: Connect early-career researchers with global experts to accelerate career growth. - Knowledge Exchange: Speak at international panels to promote open research and elevate TIFN’s global profile.

  • Bis heute 4 Monate, seit Juni 2026

    Data Scientist

    DrivenData

    1-Analyzing Data for KPI prediction 2-Medical image analysis for pattern recognition and identification Github: https://github.com/BinishMaadii/Spread_Prediction_with_AI https://github.com/BinishMaadii/Image_Reconstruction_Spectrum_Dynamics

  • 6 Monate, Dez. 2025 - Mai 2026

    Deutschkentnisse

    telc gGmbH

    1- DeutscheIntegration Test Bestanden 2- Deutsch A1 -B2 (B1 TELC)

  • 6 Jahre, Nov. 2019 - Okt. 2025

    Research Scientist

    Universität Siegen

    1- Analysis of the Big data collected at ATLAS CERN 2- Profile Likelihood fitting 3- Bayesian Inference for parameter estimation with 65 % and 95 % credible intervals 4- Interpretation of results and presentations at international conferences

  • 1 Jahr, Jan. 2023 - Dez. 2023

    Staff Scientist

    Deutsches Krebsforschungszentrum (DKFZ)

    Developed a novel unsupervised ML method for automated treatment assessment and assessment method, cutting processing time to 50% Setup an end-to-end pipeline to describe causal factors in prediction using SHAP. Presented and communicated results within the interdisciplinary team and workshop

Sprachen

  • Englisch

    C1 (Fließend)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

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