Shaily Shaily

As a Data Scientist with six years of experience, I specialize in translating complex datasets into actionable insights. My expertise lies in financial risk modeling, machine learning, and data visualization, where I have successfully built predictive analytics that enhance decision-making and support strategic goals. Currently, I am pursuing a Master’s in Data Science at NJIT, set to graduate in 2025, to further deepen my knowledge in capital risk management and large-scale analytics.

Throughout my career, I have developed and deployed machine learning models that optimize operational plans and improve resource allocation. My role as a Software Developer at Jersey City Community Court involved creating Python/SQL pipelines to analyze court data, which significantly aided leadership decisions. Additionally, my experience at Credit Suisse allowed me to raise prediction accuracy in risk modeling frameworks and implement fraud detection algorithms that reduced fraudulent transactions by 25%.

I am passionate about leveraging technology to solve complex problems and drive business success. My projects, such as the Advanced Credit Risk Assessment Model, demonstrate my commitment to innovation and excellence in data science. I thrive in collaborative environments and am eager to contribute my skills to a forward-thinking organization.