Data Science & ML Habilidades de Claude

Databricks Genie Integration

Integrates Databricks Genie rooms into AI agent workflows to enable conversational BI and natural language data querying.

RAG System Implementation

Build production-grade Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge.

Bayesian Regression Models

Implements diverse Bayesian regression techniques using Stan and JAGS for advanced statistical modeling and uncertainty quantification.

PyMC 5 Fundamentals

Facilitates the creation, review, and optimization of Bayesian statistical models using the PyMC 5 framework.

Deterministic Math Tools

Performs exact symbolic mathematical computations using SymPy to ensure accuracy without LLM estimation errors.

Bioinformatic Experiment Reporter

Synthesizes scientific lab notebooks into structured, publication-quality reports with AI-guided refinement and PDF export.

Nixtla Time Series Cross-Validator

Evaluates time series forecasting models using rigorous cross-validation and backtesting techniques to ensure prediction accuracy.

Trading Data Source Priority

Enforces high-quality Alpaca API data usage for crypto trading to prevent model failures caused by unreliable data fallbacks.

Training Resilience for ML Trading

Optimizes Reinforcement Learning training by preventing premature stops and implementing adaptive recovery for trading models.

Nixtla Exogenous Integrator

Enhances TimeGPT time series forecasts by integrating external variables like holidays, weather, and events for improved predictive accuracy.

Advanced Prompt Engineering

Optimizes and orchestrates advanced prompt engineering workflows for Claude 4.5 using industry-best patterns, guardrails, and context management.

Vector Search for Zettelkasten

Implements semantic search and AI-driven discovery for Obsidian vaults using vector embeddings and advanced chunking strategies.

Marimo Reactive Notebook Development

Builds reactive Python notebooks and interactive data applications using marimo's directed acyclic graph (DAG) execution model.

LLM Performance Evaluation

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

Context Optimization & Capacity Engineering

Optimizes AI context windows through strategic compression, masking, and partitioning to handle larger tasks and reduce operational costs.

NLP Text Analyzer

Performs comprehensive natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling directly within Claude.

Market Analyst Brief

Generates concise, 24-hour tactical financial market briefs across multiple asset classes using real-time global news.

AI Project Development

Architects and manages the end-to-end lifecycle of LLM-powered applications using agentic development methodologies.

ML Pipeline Workflow

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

Book Style-Transfer SFT Pipeline

Converts literary works into high-quality supervised fine-tuning (SFT) datasets to train AI models in specific authorial voices.

Prompt Engineering Patterns

Implement advanced LLM prompting techniques like few-shot learning and chain-of-thought to enhance production AI reliability and output quality.

RAG Implementation for LLM Apps

Builds high-performance Retrieval-Augmented Generation systems using vector databases and semantic search to ground AI responses in external knowledge.

Prediction Tracking & Evaluation

Tracks and audits AI research predictions over time to evaluate accuracy and predictor reliability.

Embedding Strategies for RAG

Optimizes embedding models and chunking strategies to enhance semantic search and RAG application performance.

MOVA AI Bootstrap Generator

Generates static bootstrap packages to initialize MOVA AI models and environments without requiring external LLM calls.

Multi-Agent Architecture Patterns

Designs and implements sophisticated multi-agent architectures to overcome context limitations and handle complex task decomposition.

Llama Stack Code Reviewer

Streamlines code reviews for the Llama Stack repository by focusing on distributed system patterns, API compatibility, and automated testing fixtures.

GPT-OSS & vLLM Troubleshooter

Diagnoses and resolves openai_harmony.HarmonyError and tool calling failures when using GPT-OSS models with vLLM.

Meta-Analysis Methods in R

Implements comprehensive meta-analysis workflows in R, including effect size calculation, heterogeneity assessment, and publication bias detection.

R Pharmacokinetics & PD Modeling

Streamlines pharmacokinetic and pharmacodynamic modeling in R using industry-standard packages and best practices.