3. Data, Science & AI

Provides expert insights on automotive systems, telematics, ADAS, and connected vehicles using data-driven AI solutions.

Expertly designs and implements scalable AI systems, MLOps pipelines, and AI infrastructure architecture.

Provides expert-level assistance with Snowflake data warehouse features including virtual warehouses, data sharing, streams, tasks, and SQL optimization.

Expert PostgreSQL database administration, including advanced SQL queries, performance optimization, and production operations.

Expertly creates and optimizes Tableau dashboards using calculated fields, LOD expressions, and data blending for data-driven insights.

Expert assistance with Looker BI, including LookML data modeling, dashboard creation, and data exploration for business intelligence analytics.

Provides expert guidance on Apache Kafka, event streaming, and Kafka Streams for building scalable data pipelines and real-time data processing applications.

Expert R programming for statistical computing, data analysis, and visualization tasks.

Delivers expert data science capabilities including statistical modeling, analytics, and data visualization for actionable insights.

Delivers expert-level guidance for machine learning model development, deep learning training, and MLOps implementation in production environments.

Expert in designing and developing interactive Power BI reports using DAX, M language, and data modeling for business intelligence solutions.

Validates data model correctness by checking element references, relationships, view definitions, and syntax using MCP tools.

Teaches advanced prompt engineering with mythological frameworks and the Centaur Principle to optimize human-AI co-creation.

Provides standardized coordination patterns for designing and implementing multi-agent AI systems to enhance team effectiveness and task delegation.

Creates typed relationships in graph databases with FQN, relationship kinds, and descriptive labels, avoiding return relationships.

Reduces token consumption for AI model inputs/outputs while maintaining full functionality and accuracy.

Provides standardized guidelines for automated extraction of recipe data from websites, ensuring efficient and compliant data collection.

Develops and backtests quantitative trading strategies with integrated risk management using data-driven models and statistical analysis.

Builds multi-agent systems and workflow agents using Google's Agent Development Kit (ADK) for Python, with Vertex AI deployment and evaluation capabilities.

Creates, edits, and analyzes spreadsheets with formula support, formatting, and data visualization capabilities for structured data tasks.

Advanced data science skill for statistical modeling, causal inference, and predictive analytics using Python, R, and SQL to drive business decisions.

Expertly handles Neon PostgreSQL database operations including schema migrations, validation, and query optimization for efficient data management.

Enables seamless integration of AI/ML models and LLMs into applications for intelligent functionality.

Designs efficient data models, schemas, and architectures for databases and data systems.