Professional Summary
Professional Overview
Jake Kosowsky is a skilled Data Scientist with a proven track record of driving data-driven solutions and insights. He has a strong focus on the healthcare industry, utilizing his expertise in data analysis, machine learning, and problem-solving to support organizations in optimizing their operations and improving patient outcomes.
Experience Summary
Current Role
As a Data Scientist at Garner Health, Jake is responsible for developing and implementing advanced analytical models to uncover valuable insights from complex healthcare data. He collaborates cross-functionally with various stakeholders to identify areas for improvement, design and deploy data-driven solutions, and measure the impact of these initiatives. Through his work, Jake has contributed to enhancing the efficiency and effectiveness of Garner Health's operations, leading to improved patient experiences and better resource allocation.
Career Progression
Prior to his current role, Jake held positions as a Data Scientist at Aetna, a CVS Health Company, and as an Analytics Intern at the Oklahoma City Thunder. During his time at Aetna, he developed predictive models to identify high-risk patients and implemented strategies to improve patient engagement and care coordination. As an intern at the Oklahoma City Thunder, Jake leveraged his data analysis skills to support the team's decision-making processes, contributing to their on-court performance and fan engagement efforts.
Academic Background
Jake holds a Bachelor of Science degree in Computer Science from Washington University in St. Louis, where he also served as a Teaching Assistant for Data Structures and Algorithms. His academic background, combined with his hands-on experience, has equipped him with a strong foundation in data science, programming, and problem-solving.
Areas of Expertise
- Healthcare data analysis and modeling
- Machine learning algorithm development and deployment
- Predictive analytics and forecasting
- Data visualization and storytelling
- Cross-functional collaboration and project management
Professional Impact
During his tenure at Aetna, Jake developed a predictive model that accurately identified high-risk patients, enabling the company to proactively address their healthcare needs and improve patient outcomes. This initiative resulted in a 15% reduction in hospital readmissions, leading to significant cost savings and enhanced patient satisfaction.
Conclusion
Jake Kosowsky is a versatile and solutions-oriented Data Scientist with a passion for leveraging data to drive meaningful impact in the healthcare industry. With a diverse background in data analysis, machine learning, and cross-functional collaboration, he is well-positioned to continue making valuable contributions to organizations seeking to optimize their operations and improve patient experiences.
