3. Data, Science & AI

Backtests crypto and traditional trading strategies against historical data, calculating performance metrics and generating equity curves for optimization.

Assists in building and configuring neural network architectures, including layer definition, parameters, and training processes for types like CNNs and RNNs.

Automates database partitioning strategy design and implementation for performance optimization and efficient management of large-scale data tables.

Automates tracking of data flow and transformations within data pipelines for improved data management and traceability.

Automatically validates data schemas in pipelines to maintain data integrity and consistency.

Expert integration of Firebase services (Auth, Firestore, Storage, Functions, Hosting) with Google Vertex AI Gemini for AI-enhanced application development and deployment.

Auto-activating tool for calculating and visualizing statistical correlations in datasets, delivering actionable insights.

Generates comprehensive test reports with coverage metrics, trends, and stakeholder-friendly formats from aggregated test results.

Automatically generates plots, charts, and graphs from input data with intelligent visualization type selection.

Tracks real-time cryptocurrency transactions and whale wallet movements to monitor large holder activity and exchange flows.

Auto-activating helper that simplifies data aggregation processes in analytics workflows.

Real-time detection of profitable arbitrage opportunities across centralized, decentralized, and cross-chain cryptocurrency exchanges by analyzing price spreads and arbitrage paths.

Enables orchestration of multi-agent AI systems using AI SDK v5, supporting agent handoffs, intelligent routing, and cross-provider coordination across OpenAI, Anthropic, and Google.

Automates feature engineering tasks such as scaling, encoding, and importance analysis to optimize machine learning model performance.

Automates budget vs actual variance analysis in Excel with flagging, commentary, and executive summaries for FP&A teams.

Automates creation of machine learning models in BigQuery ML using SQL-based queries within Google Cloud Platform.

Analyzes text to determine sentiment (positive, negative, neutral) for customer feedback, social media, and survey responses.

Automates creation of Vertex AI pipelines for machine learning workflow orchestration on GCP.

Provides expert guidance on effective data visualization techniques for clear, accurate, and impactful data representation in analytics.

Automates creation of BigQuery views for structured data processing and analysis in Google Cloud Platform.

Automates optimization of Spark SQL queries within data pipelines to enhance performance and efficiency.

Automates PyTorch model conversion to TorchScript format for optimized production deployment and inference.

Creates optimal data visualizations including plots, charts, and graphs by analyzing input data and selecting appropriate representation.

Manages data synchronization, backup, and consistency patterns for Linear project management data.