3. Data, Science & AI

Framework for building LLM applications with graph-based abstractions and agentic coding workflows.

Fetches current and forecasted weather data for any location using OpenWeatherMap API, answering queries about conditions, temperature, and precipitation.

Formats SQL code to improve readability, polish queries, and enhance .sql file structure.

Guides users in crafting effective prompts for large language models using research-backed techniques and best practices.

Generates professional medical PowerPoint presentations from clinical data sources like FHIR and lab results, featuring data visualizations for patient summaries and care plans.

Generates and edits images via Gemini API, supporting text-to-image, multi-turn refinement, and Google Search-grounded factual accuracy.

Extracts structured clinical data from medical images using OCR and medical NLP, converting unstructured documents to structured formats.

Loads and preprocesses weekly insurance policy data with intelligent cycle detection, multi-week support, validation, and cleaning for analysis readiness.

Analyzes new energy truck insurance data to identify high-risk institutions and business types, supporting underwriting strategy development.

Generates and validates FHIR R4 resources for healthcare data interoperability, converting medical data into compliant JSON structures for EHR systems.

Executes data processing workflows including cleaning, transformation, and aggregation for structured and unstructured datasets.

Guides integration of Ollama local AI models into Python applications, covering installation, configuration, model management, and deployment.

Analyzes datasets to extract insights through data processing, visualization, and statistical methods.

Conducts statistical analysis, pattern detection, and data visualization to generate actionable insights and reports.

Expert guidance for building AI agents with Agno framework, covering multi-agent systems, reasoning, tools integration, memory, knowledge, and production deployment.

Resolves ambiguous organism names to NCBI taxonomy IDs and scientific names, then recommends IWC Galaxy workflows for analysis using NCBI Taxonomy API and ENA FASTQ search.

Manages Deepnote projects as a dedicated data lab for exploration, job execution, and generating Superset-ready summary tables.

Provides expert guidance on Python AI/ML fundamentals, essential libraries, data structures, and best practices for building AI projects.

Automates data analysis using collaborative AI agents with multi-model support for exploratory insights and iterative workflows.

Manages Superset data lab components (workspaces, users, datasets, charts, dashboards) as code via API for InsightPulseAI Data Lab platform.

Detects low-quality AI-generated code patterns and provides remediation strategies for AI-assisted development, integrated with CI/CD.

Configures and embeds Superset dashboards with theming, RLS, and SSO for internal tools and customer applications.

Assigns a self-improvement engineer role to a Claude Agent, enabling focused personal and professional growth tasks.

Expert assistance for GraphPad Prism scientific graphing, statistical analysis, and scripting automation in research data workflows.