Data Analyst (Research Position)
Summer 2024
​I had the privilege of collaborating with Tenaris and the Texas A&M Institute of Data Science (TAMIDS) on an exciting project focused on revolutionizing quality assurance. Leveraging cutting-edge AI and data analytics techniques, including LLMs and topic modeling, we developed innovative solutions to elevate quality assurance processes at Tenaris
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• Utilized text and statistical analysis to enhance company-wide quality assurance by identifying root causes and critical focus areas.
• Implemented Latent Dirichlet Allocation (LDA) model for Event Description analysis, categorizing recurring issues into distinct groups through topic modeling. Collaborated with cross-functional teams to assign clear, descriptive names to each identified group of issues.
• Implemented a BERT model to assess severity rating across various events, enhancing precision in quality assurance processes