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Data & AI

Compare multiple trading strategies on the same symbol with side-by-side statistics tables. Generates equity curves and detailed metrics including NIFTY benchmark comparison.

Data & AI

Query BigQuery datasets and manage Cloud Storage buckets. Use package tools for all operations.

Data & AI

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

Data & AI

Scaffold publication-ready TDA figures using matplotlib, following strict style conventions from the trajectory_tda codebase.

Data & AI

Score phone numbers using Trestle's phone_intel API and produce DataSift/REISift-ready CSVs with phone tags for prioritized dialing.

Data & AI

Fine-tune Gemma 270M on domain-specific instruction-tuning datasets using LoRA to create specialized adapters. This skill orchestrates training, hyperparameter tuning, and validation, enabling rapid domain adaptation without full model retraining. Ideal for creating multiple lightweight domain experts from a single base model.

Data & AI

Expert business analyst specializing in data-driven decision making, AI-powered analytics, and strategic KPI frameworks.

Data & AI

Guide to selecting and optimizing embedding models for vector search applications, including model comparison and code templates.

Data & AI

Provides automated guidance for statistical significance calculations, offering step-by-step instructions and best practices for data analytics tasks like SQL queries and visualizations. It helps when you need to implement or understand statistical significance tests in your analysis workflows.

Data & AI

Access Garmin Connect data and get coaching insights on activities, wellness, sleep, and training analysis.

Data & AI

Build lead scoring models combining firmographic fit, behavioral signals, and intent data to prioritize sales follow-up and set MQL thresholds.

Data & AI

Run container-backed AutoML and hyperparameter optimization for NVIDIA TAO networks using AutoMLRunner, supporting bayesian, hyperband, ASHA, and LLM-guided search, experiment tracking, and custom evaluation hooks.