Muhil Raj Govindaraj
Chennai
Summary
Strategic Engineering Leader and Data Scientist with 14 years at Ford, uniquely positioned to excel as a Technical Specialist. Possesses extensive experience optimizing Engineering Design and a proven track record of developing impactful AI/ML solutions and patented design innovations to reduce costs and improve quality. Expert in process development, tool deployment, and managing cross-functional projects to drive efficiency and support Ford+ strategies. Passionate about leveraging data, fostering collaboration, and leading the adoption of new technologies across global teams
Overview
14
14
years of professional experience
Work History
Data Scientist
Ford Motor Private Ltd
05.2022 - Current
- Developed the On-time Launch Assistant tool, predicting unplanned unit loss and warranty costs, leveraging GCP (BigQuery), Alteryx, Python, and DataRobot.
- This contributed to significant cost savings and resulted in data-driven risk mitigation actions for the management.
- Leveraged warranty and engineering data to identify systemic issues in high-warranty parts, generating predictive models.
- Identified causal threads across Ford systems for proactive issue mitigation.
- Conducted root cause analysis to identify inefficiencies in the surface change request process, recommending actionable improvements to streamline workflow and enhance efficiency.
- Established credibility with business partners by providing actionable recommendations.
- Developed a machine learning model using XGBoost to predict part churn, performing feature engineering, and deploying the model in a Qlik Sense dashboard.
- Utilized Bayesian networks to analyze the causal effects of milestone timing adjustments on vehicle program outcomes.
Design Engineer
Ford Motor Private Ltd
12.2014 - 04.2019
- Designed door trims for various Ford models (Capri, Explorer, EcoSport, Fiesta) from concept to tooling, collaborating with studio designers and suppliers to ensure design feasibility, and cost-effectiveness.
- Managed EBOMs and program milestones, ensuring timely and accurate product releases.
- Developed an automated quality checker tool to improve efficiency and product quality.
- Filed a patent (#84551409) for optimizing door trim design for cost and complexity reduction.
- Created a dashboard to visualize Digital Pre-Assembly (DPA) issues for improved cross-functional communication.
Design Engineer
Infosys Ltd, India
06.2011 - 11.2014
- Design of hard trim components: A-pillar trim, C-pillar upper, and trunk scuff for Ford Focus China.
- Design of soft trim components – trunk side trim, floor carpet, tunnel insulator, hood insulator, and dash insulator for Ford Focus and Taurus in China.
Education
Post Graduate Program in Data Science and Business Analytics -
Great lakes and University of Texas at Austin, McCombs School of business
06.2021
Bachelor of Mechanical Engineering -
Panimalar Engineering College, Anna University
India05.2011
Skills
- GCP
- BigQuery
- Python
- SQL
- Predictive Modeling
- Statistical Analysis
- Feature engineering
- Machine Learning Algorithms
- Time Series Analysis
- Tableau
- Data Visualization Principles
- Team Management
- Mentoring and Training
- Cross-functional Collaboration
- Presentation skills
- CAD
- DPA
- Interior Trim
Accomplishments
- Awarded for patent invention disclosure and filing - 2023.
- IMG Region Recognition for BoM Churn Prediction Tool (2023).
- Best Poster in 'Presentation' at Learning & Development Fair (2022).
Timeline
Data Scientist
Ford Motor Private Ltd
05.2022 - Current
Design Engineer
Ford Motor Private Ltd
12.2014 - 04.2019
Design Engineer
Infosys Ltd, India
06.2011 - 11.2014
Post Graduate Program in Data Science and Business Analytics -
Great lakes and University of Texas at Austin, McCombs School of business
Bachelor of Mechanical Engineering -
Panimalar Engineering College, Anna University
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