

Motivated computer science graduate with a strong foundation in programming, database management, and data analysis. Experienced in Python, SQL, and machine learning, with hands-on work in large-scale data processing and statistical modeling. Able to manage multiple tasks and adapt to evolving project priorities, with a focus on building practical solutions and supporting data-driven decision-making.
• Performed statistical modeling of electric grid infrastructure and power transmission systems to help predict and minimize grid downtime.
• Developed and maintained data processing pipelines for large-scale datasets.
• Contributed to predictive models by applying machine learning techniques and preparing data for training and evaluation.
• Collaborated with cross-functional engineering teams to analyze data, troubleshoot issues, and improve model and system performance.
• HP Summer Scholar Internship
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