Profile Details

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Hire Dr. Binish B.

Germany

USD 20 /hr

Machine Learning & Data Analysis Expert | PhD in Experimental Physics | Python, ROOT, AI for Science

Profile Summary

I am a Research Scientist with a PhD in Experimental Particle Physics (University of Siegen, 2025) and extensive experience in analyzing complex scientific data. As part of the ATLAS Collaboration at CERN, I contributed to precision measurements of top-quark pair production with photons and performed effective field theory (EFT) interpretations using Bayesian inference and unfolding techniques. Beyond physics, I have applied data-driven approaches as an AI Staff Scientist at the German Cancer Research Center (DKFZ) and EMBL, where I developed predictive and explainable AI models for biomedical datasets. My technical expertise includes Python (NumPy, Pandas, SciPy, Matplotlib, SHAP), C++/ROOT, and the Bayesian Analysis Toolkit. I also specialize in scientific computing, statistical modeling, and LaTeX-based document preparation (thesis formatting, publication-ready PDFs, custom templates). I enjoy working on interdisciplinary projects where rigorous analysis and clear communication are equally important. I am available for projects involving data analysis, statistical modeling, Bayesian methods, machine learning, or scientific writing and editing.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Manipulation
• ☆ Particle Physics
• ☆ Computational Physics

Services

• Research
• Consulting
• Data & AI

Research Fact Checking, Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Data Mining, Data Cleaning, Data Processing, Data Insights

Work Experience

Staff Scientist

EMBL/Uniklinikum Heidelberg

January 2023 - November 2023

Education

PhD

University of Siegen

January 2017 - September 2025

Certifications

• Dimensionality reduction

  coursera

  https://coursera.org/share/fb9123c5f764ef463aa0dcd76417000c

  February 2023 - Present