Currently working as a Data Scientist at Trillium Health Partners, I leverage data science and advanced analytics techniques to help solve critical healthcare problems that hospitals face everyday. My work involves developing data-driven solutions that convey actionable insights and help hospital stakeholders tackle crucial problems, improve operational efficiency, and make informed decisions.
Some of my key achievements include developing and deploying forecasting models that can forecast emergency department visits with 96% accuracy and effectively communicating results to hospital stakeholders, leading to a 28% reduction in under-staffing during periods of peak demand. I have also led the development of multiple Power BI dashboards for cross-functional teams to facilitate data-driven decision-making.
I hold a Master's degree in Data Analytics from Western University, and my core skills are in the domain of data science and machine learning. I am proficient in Python, R, SQL, Power BI, and cloud technologies and have experience in developing production-grade machine learning and deep learning models using frameworks and libraries such as TensorFlow, OpenCV, and scikit-learn.
I'm always eager to connect with fellow professionals, recruiters, and organizations looking to leverage data science and advanced analytics. If you are interested in discussing potential opportunities or collaborations, let's connect and explore how my experience and skills can add value to your organization.