A Unique Blend of Engineering Precision and Business Acumen
With a robust foundation in structural engineering and a cutting-edge expertise in business analytics, I offer a rare combination of skills that can drive innovation and efficiency in your organization.
Decision Making Ability
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Giving 100% to whatever I take up
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Ability to listen, follow, & give instructions
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Academic Excellence and Professional Versatility
What I Bring to the Table
Design Thinking
I've found that design thinking is a powerful approach that bridges the gap between traditional engineering problem-solving and innovative, user-centric solutions. This methodology, which I've successfully applied in both structural engineering and machine learning projects, follows a cyclical process that can be summarized in six key steps:
The beauty of design thinking lies in its iterative nature, represented by the arrow connecting the last step back to the first in the image. This cyclical process ensures continuous improvement and adaptation, much like how we continuously optimize algorithms in machine learning or refine structural designs based on new data and technologies.
By applying design thinking principles, we can create solutions that are not only technically sound but also deeply resonant with user needs. Whether we're designing bridges, buildings, or AI systems, this human-centered approach helps ensure that our innovations truly serve their intended purpose and make a meaningful impact.
- Triple Master's Degrees: Civil Engineering, Structural Engineering, and Business Analytics & Information Systems
- Bridging Disciplines: Seamlessly connecting engineering problem-solving with data-driven business strategies
- Business Decision Making: I have helped businesses develop new lines of business with end-to-end plan development, and delivery.
What I Bring to the Table
- Creativity | Knowledge | Teamwork
- Data Analytics and Business Intelligence
- Programming and Automation
- Strategic Decision-Making
- Effective Communication
- Cultural Fit and Teamwork
- Diverse Skill-Set
Design Thinking
I've found that design thinking is a powerful approach that bridges the gap between traditional engineering problem-solving and innovative, user-centric solutions. This methodology, which I've successfully applied in both structural engineering and machine learning projects, follows a cyclical process that can be summarized in six key steps:
- Understand: Just as we begin a structural analysis by understanding the project requirements, design thinking starts with a deep dive into the problem space. This involves researching the context, stakeholders, and underlying issues.
- Observe: In engineering, we conduct site surveys and material tests. Similarly, in design thinking, we observe users in their natural environment. As Henry Ford reportedly said, "If I asked people what they wanted, they would have said faster horses." Our job is to uncover unspoken needs.
- Synthesize: This stage is akin to creating a structural model. We synthesize our observations into a clear problem statement, focusing on one key issue. For example, in an educational technology project, our view statement might be: "Students in resource-constrained schools need collaborative computing solutions that allow multiple users to interact with a single device simultaneously."
- Ideate: This is where engineering creativity meets brainstorming. We generate numerous ideas rapidly, often aiming for 60-100 ideas per minute. In my experience, this quantity-over-quality approach often leads to unexpected breakthroughs, whether designing bridge supports or AI algorithms.
- Prototype: Just as we create scaled models in structural engineering, in design thinking we build low-fidelity prototypes to test our ideas. These prototypes should answer specific questions about functionality and user experience. For a collaborative computing solution, we might prototype different input device configurations.
- Iterate: Finally, we test our prototypes with real users, gathering feedback on what works and what doesn't. This iterative process is similar to how we refine structural designs based on simulation results and real-world performance data.
The beauty of design thinking lies in its iterative nature, represented by the arrow connecting the last step back to the first in the image. This cyclical process ensures continuous improvement and adaptation, much like how we continuously optimize algorithms in machine learning or refine structural designs based on new data and technologies.
By applying design thinking principles, we can create solutions that are not only technically sound but also deeply resonant with user needs. Whether we're designing bridges, buildings, or AI systems, this human-centered approach helps ensure that our innovations truly serve their intended purpose and make a meaningful impact.