Principal Engineer- Powertrain Data Analytics

• Lead advanced machine learning initiatives to identify performance trends and anomalies in EV powertrains.
• Design and implement interactive dashboards using Power BI for real-time analytics and stakeholder reporting.
• Conduct sentiment analysis on product launches using
  Python-based web scraping techniques
  .
• Enhance and customize Python packages to optimize data processing pipelines.
• Develop predictive models utilizing regression analysis and artificial neural networks to assess vehicle behavior.
• Apply  Matlab or Python programmingfor algorithm development and simulation tasks.
• Interpret EV vehicle telemetry and  analyze customer usage patternsfor strategic insights.
• Architect solutions for  data modeling, segmentation, and automationof customer datasets.
• Lead  prognostics analytics initiativesfocused on powertrain lifecycle performance and fault prediction.

2 . Critical Must-Have Deliverables

• Deployment of  at least two predictive modelsfor EV powertrain performance or fault detection.
• End-to-end dashboard creation in Power BI demonstrating vehicle performance metrics and customer insights.
• Documented delivery of sentiment analysisreports using Python-based data acquisition.
• Customization and optimization of Python libraries to support analytics scalability.

3 . Good-to-Have Deliverables

• Integration experience with vehicle digital twins or onboard analytics systems.
• Insights from user experience datarelated to EV interface and charging behavior.
• Cross-functional collaboration exposure
  with design or customer experience teams.
• Authored whitepapers or patentsin the EV predictive analytics domain.