Data Scientist & Engineering Analyst | FEA | Machine Learning & Predictive AnalyticsWith a unique blend of experience in both Data Science and Engineering Analysis, I bring a data-driven approach to solving complex engineering challenges. Skilled in Finite Element Analysis (FEA) and Computer-Aided Engineering (CAE), I have expanded my expertise over the years to include advanced data science techniques—leveraging predictive modeling, machine learning, and deep learning to extract actionable insights and optimize performance.In recent projects, I’ve focused on implementing data science methodologies to drive predictive analytics, enhancing decision-making and innovation in engineering simulations. From developing automated test protocols for HyperMesh to creating predictive models, I combine hands-on technical skills with analytical insight for impactful, efficient results.Core Areas of Expertise:Data Science & Predictive Modeling: Advanced skills in machine learning, data visualization, and cloud platforms to uncover insights and drive strategyEngineering Analysis: Extensive experience with static, dynamic, and thermal simulations using tools like ANSYS, HyperMesh, and NASTRANAutomation & Testing: Proven ability to streamline HyperMesh testing through automation, working closely with cross-functional teamsCollaborative Problem-Solving: Strong communication and problem-solving skills to bridge engineering needs with data-driven insightsPassionate about using data to push boundaries in engineering, I’m always open to connecting on opportunities to innovate through analytics and simulation.
Listed skills include Leadership, Hypermesh, Autocad, C, and 19 others.