Girish Gopalan

AI & Data Science Leadership

• Built and scaled a Data Science Center of Excellence for Connected Vehicle and Digital Platforms, integrating analytics, engineering, and product teams.

• Defined enterprise AI strategy and roadmap aligned with business, product, and operational objectives.

• Led multidisciplinary teams of data scientists, AI engineers, and analysts across global programs.

• Partnered with senior leadership to embed AI-driven decision-making across vehicle, service, and customer ecosystems.

Connected Vehicle & Autonomous Analytics

• Led analysis of high-frequency (1Hz) telematics data to model driver behavior for Level-2 autonomous systems.

• Designed ensemble and tree-based ML models to identify adoption drivers and usage patterns.

• Delivered actionable insights improving feature performance and customer experience.

OTA & Platform Analytics

• Architected predictive OTA success platform to identify vehicles at risk of update failures.

• Improved update reliability by 25%, reducing customer downtime and saving $100K annually.

• Established monitoring frameworks for real-time performance tracking.

Feature & Sentiment Intelligence

• Developed feature segmentation models using SOM clustering and NLP-based sentiment analysis.

• Leveraged BERT-based pipelines to analyze social media and customer feedback.

• Improved product development cycles by 15% and increased feature adoption.

Geospatial & Mobility Intelligence

• Built geospatial analytics platform for route prediction using GPS telemetry.

• Enabled fuel optimization initiatives, reducing consumption by 10%.

Warranty Cost Reduction (Generative AI Initiative)

• Led a team of AI engineers to design and deploy an LLM-based analytics framework using Google Cloud Gemini.

• Automated extraction and interpretation of dealership service bay technician notes and warranty reports.

• Identified early warning indicators of recurring vehicle issues and potential defect patterns.

• Enabled proactive remediation and supplier engagement.

• Delivered $42M in warranty cost savings through predictive issue detection and prevention.

MLOps & Deployment Excellence

• Designed end-to-end MLOps pipelines for model training, deployment, monitoring, and retraining.

• Reduced time-to-production by 50% and improved model reliability.

• Established governance standards for scalable AI deployments.

Management & Delivery

• Implemented Agile delivery frameworks and portfolio governance.

• Improved team productivity and delivery velocity by 20%.

• Mentored high-potential talent into leadership and principal roles.

• Architected enterprise data warehouse and analytics platforms.
• Enabled centralized reporting and advanced analytics.
• Improved reporting efficiency by 40%.

• Led implementation of SAS CX platforms and customer analytics models.
• Designed scalable data marts for segmentation and targeting.
• Improved campaign ROI by 10%.

• Led Solvency II Data Warehouse program for insurance compliance.
• Managed team of 10 developers.
• Improved regulatory reporting accuracy and processing speed.

• Built enterprise BI and data warehouse platforms.
• Enabled 30% faster decision-making through unified analytics.

• Delivered automated P&L and performance reporting systems.
• Reduced manual reporting effort by 60%.