3. Data, Science & AI

Fetches current weather conditions for any specified location using a weather API service.

Provides GM(1,1) grey system forecasting for small-sample data, enabling accurate predictions with as few as 4 data points in limited information scenarios.

Performs Monte Carlo simulations for uncertainty quantification, risk analysis, and probability distribution visualizations in stochastic modeling.

Analyzes complex networks using degree, betweenness, and eigenvector centrality to identify critical nodes for social, infrastructure, and epidemiological applications.

Coordinates multiple specialized AI agents to concurrently review plans, improving accuracy and speed through parallel processing.

Automates parameter sweeping and optimization for mathematical models in MCM/ICM competitions, generating heatmaps and identifying optimal parameters via loss function evaluation.

Provides a classic logistic growth model for population dynamics, epidemiology, and market saturation with interpretable parameters (r, K).

Particle Swarm Optimization (PSO) implementation for fast continuous optimization of smooth functions, balancing exploration and exploitation with minimal parameters.

Advanced global sensitivity analysis for complex nonlinear models using Sobol indices and Morris screening, generating visualizations to identify key parameter drivers.

Deep learning tool for time series forecasting using LSTM and GRU networks to capture long-term dependencies and nonlinear patterns in sequential data.

Provides object-oriented architecture for modular, decoupled system models in MCM/ICM competitions, enabling efficient model swaps and avoiding spaghetti code.

Generates tornado diagrams and phase plane plots to validate model reliability under parameter variations for MCM/ICM competitions.

Adds RabbitMQ event consumer that processes events into Parquet format and writes to Azure Data Lake following BI_SALES_RISK pipeline standards.

Provides a Simulated Annealing implementation for global optimization of continuous multimodal functions, escaping local minima via probabilistic acceptance.

Provides a verified registry of data sources for 777 poker venues to streamline tournament schedule scraping.

Enables creation, editing, and analysis of spreadsheets including formulas, formatting, and data visualization for data-driven tasks.

Provides methodology for iterative AI agent optimization, including bootstrap workflows for users without existing datasets or graders.

Configures Vertex AI services, integrates VertexOracle, orchestrates AI workflows via n8n, and optimizes LLM prompts for production deployment.

Analyzes 23andMe genetic data to identify health risks, drug sensitivities, ancestry, and traits, generating a personalized report.

Extracts chapter structure from Markdown novel files and saves as structured data for audiobook production pipelines.

Creates TTS-ready audio segments with strict 75-second duration and single-speaker constraints for seamless text-to-speech processing.

Provides terminal access to Perplexity AI for LLM-powered web research, queries, and information retrieval without browser interaction.

Manages human annotations, scoring, and labeling workflows for AI model training and evaluation using Langfuse traces.

Manages Langfuse prompts with versioning and deployment labels for efficient LLM application development and iteration.