Data Professional • Researcher • Developer
Open to freelance projects, research collaboration, and data consulting opportunities.
Turning curious questions into usable insights.
I’m Kherzie Andal, a data professional and researcher focused on turning complex datasets into clear, practical decisions. My background combines computational physics, analytics, and applied machine learning for both academic and real-world projects.
I enjoy building end-to-end data workflows, from data cleaning and exploratory analysis to modeling, visualization, and communication. The goal is always the same: help people move from uncertainty to confident, evidence-based action.
I bridge theory and implementation by translating technical methods into practical, decision-ready outputs.
I communicate findings with clear visuals and concise narratives tailored for stakeholders.
I thrive in interdisciplinary teams where research, engineering, and domain experts build better solutions together.
We implemented a parallel Monte Carlo simulation of the 2D Ising model using the checkerboard Metropolis algorithm on both CPU and mobile GPU, benchmarking performance and validating results against Onsager’s analytical solution.
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I presented a poster on our Python-based implementation of the checkerboard Metropolis algorithm, highlighting performance trade-offs and validation against Onsager’s solution.
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I led a Python 3.0 Workshop session on Parallel Computing, where we explored practical techniques to boost performance by breaking down intensive tasks into concurrent processes.
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I had the privilege of leading a successful Python Basics session at workshop, where we explored practical applications in research and sparked exciting interest in coding.
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A hypothetical scenario where I’m working at Bellabeat, a high-tech manufacturer of health-focused products for women. In this case study, I’ve analyzed the dataset using R and created a presentation for stakeholders.
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This project was conducted by the Omdena Laguna, Philippines Chapter and led by Heide Mae Balcera.
View ProjectIn statistical physics, the Ising model claims that the physical system of magnets can be theoretically represented by a lattice arrangement of molecules. In this model, every molecule possesses a “spin”, which can align either upwards or downwards concerning an external magnetic field’s direction. We will represent these spins +1 and -1 respectively as shown in the figure below (others represent the alignment as 0 and 1).
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