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With a PhD in polymer science and engineering from the University of Massachusetts, Amherst, I have a strong background in physics and polymer science. My expertise lies in statistics, computational modelling, polymer physics, and condensed matter physics, which have sharpened my analytical, attention to detail, and problem-solving skills. These skills make me a great fit for data analyst, research scientist, and data scientist positions.

I bring proficiency in computational modelling, simulations of polymeric systems, data analysis, paper writing, presenting, and mentoring, making me a valuable asset to any organization. Additionally, I have completed a comprehensive course offered by IBM on Coursera. This course enhanced my skills in various tools such as Microsoft Excel, Python programming, data visualization, SQL, IBM Cognos Analytics, Pandas, spreadsheet management, pivot tables, and dashboards. I am eager to pursue opportunities as a data analyst, research scientist, and data scientist, utilizing my skills and experience to assist organizations in making data-driven decisions. I am enthusiastic about contributing to the advancement of data analysis and leveraging my expertise to drive positive outcomes for businesses.