Data Scientist
I specialize in predictive modeling, statistical analysis, and programming in Python and R, applying these skills to uncover actionable insights in complex datasets.
Featured work
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My background in psychology shapes the way I approach technical work. I want to know not only what a model predicts, but what is driving the pattern, how people behave around it, and what that means for the decision being made.
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I’ve studied human cognition, built predictive models, worked with neural networks, analyzed user behavior, and helped translate early ideas into product decisions. The subjects change, but the way I work does not.
I look for the signal beneath the noise, test whether it holds up, and connect the technical result back to the person, product, or problem it was meant to serve.
For me, the most interesting work happens at that intersection: when a strong model becomes a useful insight, and a useful insight changes what happens next.
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By combining my background in psychology with data science, I craft solutions that not only solve problems but also tell compelling stories, delivering meaningful and intuitive experiences that inspire informed decision-making and innovation.
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My Educational Experience
Throughout my journey in medicine, psychology, analytics, and data science, I’ve had the opportunity to learn from talented professionals, complete an intensive bootcamp, and engage in self-study.
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My Skillset
Over the course of my academic career, I’ve developed a diverse skill set that are both technical and creative abilities.