Data & Analytics

Use when working with Hubspot — hubSpot CRM and marketing platform management including contacts, companies, deals, tickets, pipelines, email campaigns, workflows, forms, and analytics. Covers pipeline health, deal velocity, contact engagement, marketing performance, and integration monitoring via the HubSpot API.

Use when working with Gitlab Issues Deep — deep GitLab Issues management covering issue tracking, label analytics, milestone progress, assignee workload, and issue lifecycle metrics. Use when performing deep audits of GitLab Issues, analyzing issue resolution times, reviewing board health, or assessing contributor workload across GitLab projects.

Use when working with Coveo — coveo enterprise search platform management including sources, indexes, query pipelines, machine learning models, usage analytics, and security providers. Covers indexing health, query performance, ML model status, content freshness, and license utilization.

Use when working with Bloomreach — bloomreach commerce search and merchandising platform management including catalog feeds, search configuration, autosuggest, category pages, SEO, A/B testing, pixel tracking, and recommendation widgets. Covers search relevance, catalog health, widget performance, and content personalization metrics.

Use when working with Amplitude — amplitude analytics management — monitor event ingestion, user activity, chart dashboards, cohorts, and data taxonomy. Use when reviewing event volumes, inspecting user funnels, auditing taxonomy health, or debugging ingestion issues.

Use when working with Allure Testops — allure TestOps test management and analytics platform monitoring. Covers project dashboards, launch tracking, test case management, defect clustering, environment matrix analysis, and CI/CD integration review. Use when managing test cases in Allure TestOps, reviewing launch results, analyzing flaky tests, or tracking quality trends.

Use when working with Aws Config — aWS Config compliance dashboard, rule evaluation status, conformance pack management, and resource timeline analysis. Covers configuration recorder status, compliance summary, non-compliant resource investigation, remediation tracking, and aggregator management.

Use when working with Tidb — tiDB cluster topology, slow query analysis, hot region analysis, dashboard monitoring, and SQL optimization.

Atua como especialista em Microsoft Power BI e Microsoft Fabric, cobrindo modelagem dimensional (Star Schema), linguagem DAX avançada, Power Query (M), RLS/OLS, Dataflows/Datamarts e otimização de performance.

Especialista em Análise de Fluxo de Rede, Inspeção Profunda de Pacotes (DPI), Mapeamento de Tráfego Leste-Oeste/Norte-Sul e Descoberta Ativa/Passiva de Ativos (Zeek, ntopng, Arkime, Wireshark, tcpdump, pmacct, ElastiFlow, NetworkMiner, p0f, RITA, Malcolm, Nmap, RustScan, Masscan, Naabu, Amass).

Especialista em Matemática Avançada, Álgebra Linear, Topologia, Cálculo Diferencial e Otimização para Machine Learning e Ciência de Dados baseado nas obras Algebra, Topology, Differential Calculus, and Optimization Theory for CS and ML (Jean Gallier, Jocelyn Quaintance), Numerical Algorithms (Justin Solomon) e Essential Math for Data Science (Thomas Nield). Cobre Álgebra Linear e Fatorações Matriciais (SVD, Cholesky, QR, Moore-Penrose, Autovalores), Cálculo Tensorial e Backpropagation (Jacobi...

Especialista em Termodinâmica Clássica, Física Estatística e Transições de Fase baseado nas obras Statistical Mechanics (R. K. Pathria, Paul D. Beale), Thermodynamics and an Introduction to Thermostatistics (Herbert B. Callen) e Statistical Physics (Landau & Lifshitz). Cobre Postulados e Leis da Termodinâmica, Potenciais Termodinâmicos e Relações de Maxwell, Ensembles Estatísticos (Microcanônico, Canônico e Grão-Canônico com Funções de Partição), Estatísticas Quânticas (Maxwell-Boltzmann, Fer...

Especialista em Mecânica dos Sólidos, Análise Estrutural Matricial, Elementos Finitos (FEA), Mecânica dos Solos e Geotecnia baseado em James M. Gere & Barry J. Goodno (Mechanics of Materials), Aslam Kassimali (Matrix Analysis of Structures) e Braja M. Das (Principles of Geotechnical Engineering). Cobre Estado Plano de Tensões e Deformações (Círculo de Mohr, Critérios de Escoamento de Von Mises e Tresca), Flexão, Cisalhamento e Torção em Vigas, Flambagem de Colunas de Euler, Método da Rigidez ...

Especialista em Geociências, Sensoriamento Remoto, Geoprocessamento (GIS), Cartografia e Ordenamento Territorial baseado nas obras Remote Sensing and Image Interpretation (Lillesand, Kiefer, Chipman), Geographic Information Systems and Science (Longley et al.) e Decifrando a Terra (Teixeira et al.). Cobre Espectrometria de Imagens de Satélite (Sentinel-2, Landsat-8/9, CBERS-4A), Índices Espectrais (NDVI, NDWI, NBR, EVI), Classificação de Uso e Cobertura da Terra (Random Forest, Google Earth E...

Especialista em Análise de Circuitos Elétricos, Eletrônica Analógica e Microeletrônica baseado nas obras Introductory Circuit Analysis (Boylestad), Fundamentals of Electric Circuits (Alexander, Sadiku) e Microelectronic Circuits (Sedra, Smith). Cobre Leis de Kirchhoff (LKC/LKV), Teoremas de Redes (Thévenin, Norton, Superposição, Máxima Transferência de Potência), Transitórios RLC de 1ª e 2ª Ordem, Análise Fasorial CA e Triângulo de Potências (Ativa, Reativa, Aparente e Correção de Fator de Po...

Especialista em Arquitetura Data Mesh, Produtos de Dados (Data Products) e Governança Federada baseado nas obras Implementing Data Mesh (Jean-Georges Perrin) e The Enterprise Data Catalog (Ole Olesen-Bagneux). Cobre os 4 princípios do Data Mesh (Domain Ownership, Data as a Product, Self-Serve Data Platform, Federated Computational Governance), Data Contracts (OpenDataContract), linhagem de dados e catálogos corporativos.

Especialista em Arquitetura, Engenharia e Operação de Clusters HPC (High Performance Computing) e Supercomputadores baseado na obra Supercomputers for Linux SysAdmins (Sergey Zhumatiy). Cobre gerenciadores de carga (Slurm Workload Manager), interconexões de baixa latência (InfiniBand/RDMA), bibliotecas de paralelismo (OpenMPI, MPICH), sistemas de arquivos paralelos (Lustre, GPFS, Ceph) e computação acelerada por GPUs.

Use this skill when you want to use text-to-image diffusion models to generate synthetic training images for augmenting VLM training data. Avoid it when you have sufficient real training images or synthetic images would not improve your task.

Use this skill when you want simple automated data augmentation with only two hyperparameters (number and magnitude of transforms). Avoid it when you have a custom augmentation pipeline or do not need automated augmentation.

Use this skill when you want to augment training images by cutting and pasting rectangular patches between images with mixed labels. Avoid it when your task does not benefit from spatial regularization.

Use this skill when you want to efficiently attribute model behavior to training data at scale using random projections and ensembling. Avoid it when you do not need per-example attribution or simple quality metrics suffice.

Use this skill when you want to prune training data by identifying examples that are frequently forgotten during training, using forgetting events as a data quality signal. Avoid it when you cannot train a model first to measure forgetting events.

Use this skill when you want to map training examples as easy, ambiguous, or hard based on training dynamics (confidence, variability) for data selection. Avoid it when you cannot afford to train a model first to compute training dynamics.

Use this skill when you want to assign fair value to individual training examples based on their marginal contribution using Shapley value theory. Avoid it when you cannot afford the computational cost of data Shapley estimation.