uzair qaseem

Hosted Researcher (intern)

National Centre for Physics • Temps partiel

Nov 2025 - Present • 1 yr

I have research experience at the National Centre for Physics (NCP), working on data analysis and machine learning applications in experimental high-energy physics. My work includes developing and evaluating machine learning models, including Boosted Decision Trees (BDT) and neural networks, for particle-physics data analysis. I work with Python, pandas, NumPy, scikit-learn, data preprocessing, feature engineering, model evaluation, and data visualization. I also have experience working with structured scientific datasets and building reproducible analysis workflows. I can help clients with: - Data cleaning and exploratory data analysis (EDA) - Python-based data extraction and processing - Data visualization and statistical analysis - Machine learning model development and evaluation - Classification, feature engineering, and model performance analysis My approach is focused on clean code, reliable results, clear communication, and delivering work that meets the client's requirements.