I’m Shugyla Tazhikul, a data science and machine learning-focused student from Kazakhstan who enjoys turning complex data into clear insights and practical solutions. My background combines strong mathematical foundations with hands-on work in statistical modeling, time series, regression analysis, and optimization, along with experience building reproducible AI pipelines.
I’ve also applied my skills in research and applied settings—using AI-based image analysis for SEM grain morphology in perovskite solar cell studies, optimizing data-driven workflows for experiments, and developing ML applications that I can deploy through user-facing tools. I’m especially interested in work at the intersection of data, AI, and real-world problems, where careful analysis and thoughtful engineering make an immediate impact.
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