Tools Intermediate 3 years experience
Summary
Experienced with NumPy for numerical computing, matrix operations, and scientific calculations. Foundation for machine learning implementations and data processing.
How I Apply This Skill
- Built Echo State Network from scratch using NumPy matrix operations
- Implemented ridge regression weight calculations with matrix algebra
- Used array operations for batch processing in neural network training
- Applied numerical methods like scoring matrices and alignments in bioinformatics algorithms
- Performed statistical calculations for data analysis and feature engineering
- Applied log10 color scaling (
log10(clip(value, 1))) to COVID-19 choropleths so data spanning six orders of magnitude renders legibly on a single colorbar - Computed backbone φ/ψ dihedral angles for Ramachandran plots in the Protein Structure Viewer directly from parsed atom coordinates
Key Strengths
- Matrix Operations: Dot products, transposes, inversions
- Array Manipulation: Reshaping, slicing
- Statistics: Mean, std, correlations, percentiles
- Scientific Computing: Linear algebra, random sampling