Data Science & ML Habilidades de Claude

Tripartite Problem Decompositions

Decomposes complex computational problems into three balanced, parallel components using GF(3) conservation and sheaf-theoretic gluing.

Large Language Model (LLM) Integration

Implements conversational AI and text generation capabilities using the z-ai-web-dev-sdk for robust backend applications.

Badminton Rankings Analyzer

Analyzes German U19 badminton ranking data from the DBV directly within Claude Code.

OpenAI Agents Orchestrator

Develops production-grade AI applications using the OpenAI Agents SDK with multi-agent handoffs, voice integration, and robust error prevention.

Gemini AI Orchestrator

Integrates Google's Gemini-3-pro-preview model into Claude Code for multimodal analysis, massive context processing, and real-time grounding.

Antahkarana Cognitive Reasoning

Facilitates complex decision-making through a multi-agent debate simulation that analyzes problems from diverse cognitive perspectives.

Google Gemini API Integration

Integrates the latest Google Gemini 3 and 2.5 models using the modern @google/genai SDK for multimodal processing and advanced reasoning.

ε-Yajña

Compresses verbose agent memories into a dense, symbolic format for efficient knowledge retrieval and context management.

Streamlit for Snowflake

Builds and deploys production-ready Streamlit data applications natively within the Snowflake Data Cloud environment.

DS Planning & Profiling

Profiles datasets and generates structured analysis task breakdowns for data science workflows.

Data Science Output-First Implementation

Enforces rigorous output-first verification and subagent delegation for reliable data science workflows in Claude Code.

Notebook Debugger

Debugs and verifies Jupyter, Marimo, and Jupytext notebooks by enforcing rigorous execution and traceback checks.

Data Science Verification & Reproducibility

Enforces rigorous technical validation and user acceptance testing for data science workflows to ensure reproducible results.

Cloudflare Vectorize Implementation

Implements high-performance semantic search and RAG workflows using Cloudflare Vectorize V2 with optimized metadata filtering and batch processing.

LLM Integration & Chat Completions

Implements sophisticated chat completion functionality and multi-turn conversational AI using the z-ai-web-dev-sdk.

Fal Platform Management

Manages Fal.ai platform APIs for model deployment, pricing optimization, and usage tracking.

Advanced Excel & Spreadsheet Management

Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and industry-standard financial modeling conventions.

Domain Advisor

Recommends optimized experiment plans and development tasks by analyzing historical project data across machine learning and GPU computing domains.

MATLAB & Octave Scientific Computing

Performs complex numerical analysis and scientific computing using MATLAB and GNU Octave syntax for matrix operations and data visualization.

Google Gemini Embeddings

Implements production-ready RAG systems and semantic search using Google's Gemini embedding models with Cloudflare integration.

Amazon Bedrock Inference

Integrates Amazon Bedrock Runtime APIs for unified model inference, streaming, and safety guardrails across multiple foundation models.

Phoenix XIRR & Fees Validator

Validates financial calculations for XIRR and management fees to ensure accuracy and parity with industry-standard Excel models.

DSPy.rb Expert

Builds type-safe, composable LLM applications in Ruby by programmatically defining models, modules, and optimization workflows.

Hybrid Search Implementation

Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in RAG systems.

Deep Research

Produces comprehensive, well-sourced research reports using an iterative diffusion-based refinement methodology.

LLM SDK Integration & Orchestration

Provides standardized patterns for integrating multi-provider LLMs and advanced Claude orchestration via CLI-based SDK architectures.

ML-NMR Methodology Guide

Provides expert methodological guidance and implementation patterns for conducting rigorous Multilevel Network Meta-Regression (ML-NMR).

Scientific Analysis & Reporting

Generates structured, data-driven scientific research reports by analyzing repository data and verifying metrics against technical standards.

Climpt Agent Scaffolder

Automates the creation of standardized Climpt agent directories and configuration files to accelerate AI agent development.

AI Training Diagnostics

Diagnoses and fixes machine learning training issues including loss plateaus, gradient instabilities, and convergence failures.