Data Science & ML Claude 技能

Resampling Strategies for Tidy Models

Implements robust model validation and resampling techniques using the R tidymodels ecosystem and rsample package.

LangChain Application Architecture

Architects sophisticated LLM applications using LangChain's framework for agents, memory management, and complex tool integration.

Hybrid Search Implementation

Implements advanced search architectures by combining vector similarity and keyword-based retrieval for improved RAG system recall.

Data Storytelling Analytics

Transforms raw business data into compelling narratives and persuasive executive presentations using proven storytelling frameworks.

LangGraph 7-Layer Architect

Builds and manages complex LangGraph agent systems using a structured, 7-layer architectural pattern for scalable AI development.

Context Engineering Fundamentals

Provides foundational strategies for managing AI agent context windows, attention mechanics, and token usage to improve model performance.

Advanced LLM Evaluation

Implements production-grade LLM-as-a-judge techniques to evaluate AI outputs using direct scoring, pairwise comparison, and bias mitigation.

Context Optimization

Maximizes LLM context efficiency and reduces token costs through strategic compaction, masking, and partitioning techniques.

Veo 3.1 Video Interpolation

Generates cinematic video transitions and morphing animations between two keyframe images using Google’s Veo 3.1 via fal.ai.

Memory Systems Design

Implements sophisticated memory architectures for AI agents to persist state, build knowledge graphs, and maintain long-term context.

Vector Similarity Search Patterns

Implement high-performance similarity search and vector retrieval patterns across multiple database providers.

Hybrid Search Implementation

Implements robust hybrid search systems by combining vector similarity and keyword-based retrieval for enhanced RAG performance.

Portfolio Risk Metrics Calculation

Calculates comprehensive financial risk metrics including VaR, CVaR, Sharpe, and Sortino ratios for quantitative portfolio management.

TextCleaner Pipeline Manager

Manages and automates complex text transformation pipelines via the TextCleaner REPL interface.

Superpowers Lab

Provides a specialized laboratory environment for experimenting with and implementing advanced Claude capabilities.

Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for AI-driven applications.

Quantitative Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies.

ML Pipeline & MLOps Workflow

Orchestrates end-to-end MLOps pipelines from data ingestion and preparation to model training, validation, and production deployment.

LangChain & LangGraph Architecture

Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agent orchestration and state management.

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems to validate trading strategies while eliminating common statistical biases.

MLOps Pipeline & Workflow Orchestration

Builds and automates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

LLM Evaluation Framework

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.

Data Storytelling

Transforms raw analytics into persuasive business narratives through structured storytelling, visualization techniques, and executive-ready frameworks.

PyLabRobot Lab Automation

Automates laboratory workflows and hardware control using a hardware-agnostic Python interface for liquid handlers and analytical equipment.

Spark Optimization

Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle performance tuning.

GWAS Catalog Explorer

Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and comprehensive summary statistics for genomic research.

RAG Implementation Suite

Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns for LLM applications.

Scikit-bio Bioinformatics Toolkit

Analyzes biological data including sequences, phylogenetic trees, and microbial community diversity using the scikit-bio Python library.

Vector Index Tuning Specialist

Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for efficient AI applications.

Advanced Prompt Engineering Patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.