Robert Walsh Email & Phone Number

Concord, North Carolina, United States

• Lead end-to-end development of AI/ML models for GM Motorsports live races including custom algorithm creation, architecture modernization, and performance enhancement. Conduct code reviews, ensure quality, and.
• Lead the development of a custom k-nearest neighbors gradient descent algorithmwithin the PyTorch framework, enabling closed-loop optimization of black-box numerical functions and vehicle simulations, resulting in the.
• Develop a streaming data interpolation algorithm utilizing PySpark within Databricks, allowing for instantaneous comparison of driver metrics in real-time during live races with minimal delay.
• Maintain and enhance live race AI strategy models, which are extensively utilized by key partner teams in NASCAR and IndyCar, contributing to winning outcomes in 5 out of the first 8 NASCAR races during the 2024 season.
• Guide the software architectural discussions and strategic planning to modernize a decade-old codebase of live race strategy models, resulting in the adoption of contemporary software standards, significant reduction.
• Contribute as a key code reviewer for all GitHub repositories, ensuring code quality before merging into the development branch, while also facilitating seamless releases from development to staging and production.

Boston, Massachusetts, United States

• Applied data science methods to model complex systems. Utilized system dynamics principles and computational models to drive strategy. Communicated findings with simplified visualizations to non-technical stakeholders..
• Applied latent factor analysis techniques to validate the presence of distinct customer mindsets within survey data. Conducted A/B tests on segmented populations to establish statistical significance and derive.
• Developed a web-scraping application utilizing Python to target and collect 1 million customer conversations. Implemented unsupervised machine learning algorithm to quantitatively triangulate and reinforce qualitative.
• Created a numerical simulation using Python to model complex time-varying interactions of a proposed hybrid B2B-B2C service.
• Developed a network model combining Bayesian principles and graph theory to analyze customer engagement in various activities. Calculated probabilistic associations among activities to identify key target markets based.

Detroit Metropolitan Area

• Utilize human-centered design thinking principles to guide future products and services within the Icons product line, including the Ford Bronco and Mustang. Apply product design and user experience (UX) methods to.
• Owned the execution roadmap of innovative product and service offerings from initial ideation to customer delivery.
• Champion innovative ideas to senior management and executives to secure funding and resources.
• Performed A/B testing using Python on automotive vehicle purchasing data to estimate the total addressable market for Bronco vehicles.
• Utilized Python to perform Monte-Carlo financial projection simulations to assess the viability of a proposed future service

Allen Park, MI

• Used a combination of computational fluid dynamics simulation software tools, such as openFOAM, StarCCM+, and Paraview to drive continual aerodynamic performance improvements for Ford Performance Racing vehicles..
• Functioned as the in-house core Ford aerodynamic specialist at Stewart-Haas Racing, performing DOE statistical analysis of transient NASCAR CFD in openFOAM, StarCCM+, Mode Frontier, and Python to achieve 10 wins and 30.
• Reduced engineering reporting time by 80% through the development of an automated reporting tool using LaTeX and Python.
• Aerodynamic design and analysis of motorsports race car bodywork including: first Mustang for 2019 NASCAR Monster Energy Cup Series, and rear bumper / underbody diffuser for 2018 WRC world championship winning MSport.
• Thermal design and management of brake and battery systems, including convection, radiation, and conjugate heat transfer analysis

Livonia, MI

• Applied systems engineering principles to root cause and solve complex problems related to automatic transmissions. Utilized MATLAB to perform statistical analyses on large datasets to assess trends related to product.
• Implemented a company-wide surface finish specification through the use of causal modeling and statistical analysis to develop a random forest machine learning classification algorithm to predict micro-surface finish.
• Simulated transmission torque loss using vehicle fuel economy dynamometer test data for entire Ford fleet
• Organized build timing for Transmission/Driveline calibration vehicles using MS Project
• Led root cause analysis for hydraulic draining issues on FWD transmission at extreme cold temperatures (-40C) for various vehicles

Ronkonkoma, NY

-Designed and implemented an experimental catalytic flow reactor-Designed an explosion proof data acquisition system for use in natural gas rich environment

Masters, Applied Business Analytics, 3.94

Bachelor Of Engineering - Be, Mechanical Engineering

Activities and Societies: Formula SAE (Cooper Motorsports) Captain and Chassis/Aero Lead. Senior Project: Design of a Formula SAE.