I am an Industrial Engineering and Management undergraduate with a strong interest in business analytics, data science, operations research, and AI-enabled decision-making. I translate complex and ambiguous business problems into structured, data-backed frameworks that support practical decisions.
I have applied Python, Power BI, Advanced Excel, statistical analysis, and data visualization across analytics projects involving logistics, supply chains, forecasting, optimization, and business intelligence. My work combines analytical rigor with stakeholder-focused communication and dashboard design.
I have built optimization and decision-support solutions using linear programming, genetic algorithms, simulated annealing, AHP, CRAFT, and demand forecasting. In one supply-chain project, I analyzed more than 30,000 logistics records and compared multiple optimization approaches for route and network design.
I also have experience applying AI and NLP to business challenges. I developed a social-media sentiment analysis pipeline using Python and Gemini API integration to convert unstructured customer feedback into actionable brand-positioning insights.
During my industrial internship at Bosch Rexroth, I analyzed OEE metrics, conducted value stream mapping, studied material flows, and performed time and ergonomic assessments. I am seeking opportunities where I can contribute analytical, operational, and AI-enabled problem-solving skills while continuing to grow as a data and business analytics professional.
