Ashish Bhardwaj

Predictive Warranty Analysis (Data Science Projects)

• Built logistic regression models to predict failure rates of suspension components based on warranty and field data.
• Designed and implemented structured data pipelines to proactively detect defect patterns, enabling 20% early corrective actions and achieving up to a 90% reduction in warranty costs, resulting in annual savings of ₹40 lakhs

Engineering Resource Optimization

• Increased Designed a regression-based model to estimate engineering man-hours for projects using historical data and design complexity.
• Helped optimize resource allocation across multiple concurrent vehicle projects.

Root Cause Analysis with ML

• Applied clustering and classification algorithms on customer feedback and component testing data to uncover root causes of common failure.

Data-Driven Design Decisioning

• Integrated data insights into the new product development cycle for shock absorbers and drive shafts, improving durability KPIs by 15%.

Model Deployment & Visualization

• Built internal dashboards using Python & Excel to make model outputs understandable for non-technical stakeholders.

Worked with global R&D teams to standardize data analytics processes across international design hubs. Contributed to the development of predictive reliability metrics for new vehicle components.

• Optimized suspension kinematics, improving handling metrics by 12% through parametric modeling.
• Reduced component weight by 18% via topology optimization while maintaining 95% durability compliance.
• Led 5 production programs with 100% on-time delivery and 20% cost savings.
• Resolved 10+ field issues using FTA analysis.
• Mentored junior engineers in advanced simulation techniques.

• Designed suspension components NX, performed kinematic analysis, and supported prototype testing.
• Analyzed test data, contributed to DFMEAs
• Collaborated with cross-functional teams to optimize designs.
• My work ensured compliance with performance and manufacturing requirements while developing my expertise in vehicle dynamics.