Ayush Suresh Bhat

Proactive and results-driven Industrial and Systems Engineering graduate student with a strong foundation in mechanical engineering. Skilled in CAD, FEA, Lean Six Sigma, and advanced software tools such as SolidWorks, MATLAB, and ANSYS. Proven experience in leading projects that focus on process optimization, sustainability, and innovation, including 3D/4D printing applications, supply chain optimization, and Six Sigma DMAIC initiatives. Adept at leveraging analytical techniques, teamwork, and critical thinking to deliver actionable insights and cost-saving solutions. Passionate about applying cutting-edge technology and engineering principles to drive efficiency and improve operational outcomes in manufacturing and systems environments.

3D/4D Printing Interior Design (Dashboard, Door Panel, and Central Console):
Collaborated on a cutting-edge project redesigning Lincoln Nautilus 2023 interior components using 3D/4D printing. Focused on sustainability, innovation, and modularity to enhance user comfort and ergonomics. Achieved $16.5M Net Present Value through eco-friendly material integration and advanced manufacturing techniques.

Quantitative Risk Assessment and Portfolio Optimization:
Led a financial engineering project analyzing a two-asset portfolio (AAPL and MSFT) using historical market data. Applied scenario analysis and variance-covariance modeling to minimize risk and optimize returns. Delivered insights through Excel Solver, enabling resilient portfolio management.

Modular High-Capacity Power Bank Design and Development:
Designed a modular, high-capacity power bank with intelligent monitoring and multi-output compatibility. Ensured compliance with CE, FCC, and UL standards while integrating sustainability and safety measures. Developed robust testing strategies to validate performance and usability.

Six Sigma Project on "Twist Scrap Reduction":
Executed a Six Sigma DMAIC project to reduce scrap in the twist operation. Identified key inefficiencies in tool condition and part geometry, implemented corrective actions, and achieved a significant reduction in scrap costs.

Optimization of Supply Chain for Seasonal Jacket Production and Distribution:
Developed a transshipment model to optimize production, transportation, and capacity investment for seasonal jacket supply. Minimized overall costs while addressing capacity and demand challenges across U.S. distribution centers.

Apartment Selection Analysis:
Applied Multi-Attribute Utility Theory (MAUT) and risk assessment to analyze apartment options based on cost, features, and location. Delivered data-driven recommendations, ensuring optimal decision-making aligned with long-term value.

Implementation of IIOT in Supply Chain Management (Automated Dispatch Warehouse):
Integrated IIoT technology into warehouse operations to automate dispatch processes. Overcame challenges in system integration and data management, resulting in enhanced operational efficiency and cost reduction.

Design and Development of CNC Machine from Old Lathe Machine:
Retrofitted an old lathe machine into a CNC system to reduce manual effort and optimize machining cycle time. Integrated a mechanical drive and a 4-station turret to boost tool efficiency and production capacity.