I am a Chemical Engineering graduate from Carnegie Mellon University with hands-on experience in chemical product design, process modeling, laboratory analysis, and data-driven research. I combine engineering fundamentals with practical skills in Python, MATLAB, Power BI, and experimental design.
I have worked on projects involving antimicrobial product development, spray drying, wastewater treatment, and UV reactor modeling. My work has included kinetic modeling, techno-economic analysis, process optimization, market analysis, and evaluating sustainable engineering solutions.
I gained consumer-insights experience as an Evaluation Intelligence Intern at L'Oréal Research & Innovation, where I analyzed review data, developed LLM prompts for feedback categorization, and created Power BI dashboards. This strengthened my ability to translate technical and qualitative data into actionable insights.
My laboratory background includes HPLC, UV-Vis spectroscopy, gas chromatography, titrations, gravimetric analysis, and spray drying. I am comfortable preparing samples, conducting calibrations, analyzing experimental results, and supporting analytical procedure development.
I also bring communication, leadership, and operations experience from roles in logistics, online course development, lab support, student engagement, and residential life. I am seeking an entry-level engineering opportunity where I can apply analytical problem-solving, process-design knowledge, and collaborative project skills.