

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.
• Developed and maintained scalable data processing pipelines for large-scale datasets.
• Improved data processing workflows and contributed to the reliability and performance of
production systems.
• Collaborated with cross-functional engineering teams to troubleshoot issues and deliver software
solutions.
• Contributed to the development and enhancement of machine learning and data-driven applications.
• Performed statistical modeling of electric grid infrastructure and power transmission systems to help
predict and minimize grid downtime.
• Assisted in developing data processing pipelines for large-scale datasets.
• Prepared datasets and supported machine learning model training and evaluation.
• Worked with engineering teams to analyze data, validate results, and support software development
activities.
• Completed a 6-week remote Summer Scholar program (~80 hours of instructor-led training) focused
on business and financial acumen, marketing & sales, networking, organizational design, and product
development, while gaining an understanding of global business operations and organizational
decision-making.
• Assisted in the installation, configuration, and maintenance of computer networks.
• Provided technical support for hardware, software, and internet connectivity issues.
• Assisted with IT infrastructure upgrades and network deployment projects.
• HP Summer Scholar Internship
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