Data Science & ML Agent Skills

FastAPI & Streamlit Deployment

Deploys scientific models and data applications using high-performance FastAPI backends and interactive Streamlit frontends.

Pysam Genomic Data Analysis

Manipulates and analyzes genomic alignment and variant files using the pysam library for high-throughput sequencing pipelines.

PyTorch Deep Learning

Builds, trains, and optimizes high-performance neural networks and scientific computing models using the PyTorch framework.

Pyomo Mathematical Optimization

Formulates and solves complex mathematical optimization problems using a natural Pythonic syntax for linear, integer, and non-linear models.

CareerCopilot Agent Scaffolder

Automates the creation of standardized Python-based AI agents for autonomous career-focused tasks.

SymPy Symbolic Mathematics

Performs complex symbolic mathematical operations including calculus, equation solving, and algebraic manipulation using the SymPy library.

Numba JIT Performance

Accelerates Python and NumPy code using Just-In-Time (JIT) compilation for machine-speed execution.

Dask Performance Optimization

Optimizes Dask distributed computing performance through advanced cluster tuning, memory management, and task graph refinement.

Research Taste Developer

Develops the analytical intuition to distinguish high-impact, foundational research from incremental work and academic noise.

Biopython Bioinformatics

Streamlines computational biology workflows with specialized guidance for sequence analysis, file parsing, and biological database integration using Biopython.

PySCF Quantum Chemistry

Performs ab initio quantum chemistry calculations and molecular simulations using the PySCF framework.

Pandas Performance & Memory Optimizer

Optimizes pandas workflows for massive datasets using advanced memory management and high-speed execution patterns.

h5py Hierarchical Data Storage

Manages large-scale numerical datasets using the HDF5 binary format and NumPy-compatible interfaces for high-performance data science.

Xarray Scientific Data Analysis

Manages and analyzes multi-dimensional labeled arrays and datasets for scientific computing and physical sciences.

PyProj Coordinate Systems & Geodetics

Performs high-precision cartographic projections and coordinate transformations using the PROJ library.

Open Babel Chemical Translator

Converts and processes chemical data across 110+ formats for molecular modeling, informatics, and 3D structure generation.

Pydicom Medical Imaging

Provides specialized tools for reading, modifying, and writing DICOM medical imaging data within Python environments.

Advanced scikit-learn Architecture

Implements robust scikit-learn machine learning pipelines and custom estimators to ensure production-grade, leak-free model development.

SciPy Scientific Computing

Performs advanced scientific and technical computing tasks including numerical integration, optimization, and statistical analysis.

Plotly Interactive Visualization

Generates interactive, web-based charts and complex data dashboards using Python's high-level Plotly library.

NumPy Scientific Computing

Optimizes numerical computing tasks in Python using high-performance array operations and vectorized mathematical functions.

Statsmodels Statistical Analysis

Performs advanced statistical modeling, hypothesis testing, and rigorous data inference using R-style formulas.

SunPy Solar Physics Analysis

Enables advanced solar data processing, coordinate transformations, and multi-instrument analysis using the SunPy ecosystem.

Photutils Astronomical Photometry

Detects astronomical sources and performs high-precision photometry on digital images using the Astropy ecosystem.

PennyLane Quantum Machine Learning

Integrates differentiable quantum computing circuits into classical machine learning workflows for hybrid model development.

ChemPy Chemistry Simulation

Simplifies physical and analytical chemistry tasks by automating chemical equation balancing, kinetic modeling, and equilibrium calculations.

Matplotlib Pro Viz & Animation

Generates high-performance animations, publication-quality scientific figures, and interactive data visualization tools using advanced Matplotlib techniques.

PyTorch Research & Engineering

Empowers developers to build, debug, and scale advanced deep learning models using PyTorch internals and high-performance engineering patterns.

Hugging Face Transformers Integration

Integrates state-of-the-art machine learning models for natural language processing, computer vision, and scientific data analysis using the Hugging Face ecosystem.

R ggplot2 Data Visualization

Streamlines R data visualization workflows with expert guidance on ggplot2 4.0 features and grammar of graphics implementation.