I was responsible for driving data-driven innovation and business value in the healthcare industry. I played a pivotal role in identifying and addressing analytical challenges, designing and implementing innovative solutions, and ensuring that these solutions delivered measurable results. I collaborated closely with cross-functional teams to bring together diverse talents, information, and technologies, ultimately building robust and focused business solutions.

I was instrumental in leveraging data to drive strategic decision-making and improve organizational outcomes. My responsibilities included providing actionable insights to inform executive decisions, mentoring junior data scientists to ensure a strong pipeline of talent, contributing to advancements in natural language processing research, ensuring data quality and integrity, collaborating cross-functionally to deliver comprehensive analytical solutions, and proactively identifying and addressing data-related challenges.Through my expertise and contributions, I played a significant role in UPMC's success in utilizing data to enhance patient care, optimize operations, and drive innovation. My work helped to improve the overall quality and efficiency of healthcare delivery at UPMC.For example, I developed a predictive model to identify patients at risk of homelessness, which allowed UPMC to provide targeted interventions and support. Additionally, I collaborated with clinical teams to design a tool that assisted care managers in improving medication adherence for patients with chronic conditions. These initiatives contributed to UPMC's mission of providing high-quality, affordable healthcare to the community.

I played a pivotal role in leveraging data to drive strategic decision-making and improve organizational outcomes. My responsibilities included leading a data science team, promoting data-driven innovation, and establishing analytical best practices.One of my key accomplishments at Highmark was identifying optimal locations for new Allegheny Health Network services. This project involved developing methods to analyze market data, identify underserved areas, and assess the feasibility of establishing new facilities. By leveraging data-driven insights, we were able to make informed decisions about expanding our network and better serve patients in need.Another significant project I led at Highmark was the development of a doctor-patient matching platform. This platform utilized advanced analytics to match patients with the most suitable primary care physicians based on their individual needs and preferences. By leveraging data-driven insights, we were able to improve patient satisfaction and streamline the healthcare experience.In addition to these projects, I also contributed to creating geographic market segmentation for business analysis and reporting. My work on these projects helped Highmark to optimize its operations and make data-driven decisions to improve patient care.Through my leadership and expertise, I played a crucial role in driving data-driven innovation and improving the overall effectiveness of Highmark's operations. My contributions helped to position Highmark as a leader in the healthcare industry.

I played a pivotal role in leveraging data to drive innovation and improve healthcare outcomes. My responsibilities included leading a team of data scientists, fostering a data-driven culture, and developing and implementing analytical solutions to address complex healthcare challenges.One of my key accomplishments was leading the development of a member record matching solution. This solution connected an individual's data across various vendor feeds over time, despite the varying quality of the data. By leveraging advanced data analytics, we were able to provide clients with a more comprehensive and accurate view of their members' healthcare data.Additionally, I contributed to the design of an analytical data layer to extend the enterprise data warehouse. This new data layer provided a more flexible and scalable foundation for data analysis and reporting.Furthermore, I played a key role in the development of a benchmarking tool that allowed clients to compare their performance to other similar organizations. This tool provided valuable insights into industry best practices and helped clients identify areas for improvement.Through my leadership and expertise, I helped Innovu become a leader in providing data-driven solutions to the healthcare industry. My contributions to the organization included fostering a data-driven culture, developing innovative analytical solutions, and improving the quality and accessibility of healthcare data.

I played a pivotal role in leveraging data to drive strategic decision-making and improve organizational outcomes. My responsibilities included analyzing data to identify trends and patterns, providing actionable insights to inform decision-making, ensuring data quality and integrity, collaborating with cross-functional teams, and developing and implementing data-driven solutions.I contributed to several key projects, including financial forecasting, provider network analysis, specialty categorization, specialist performance reporting, and visualization and reporting. Through my expertise and contributions, I helped UPMC make data-driven decisions and improve its operations.

(formerly Aegisoft, LLC)I was responsible for ensuring the quality of our flagship product, Athena Spreader. I managed a team of global QA engineers, coordinating their efforts and training them on our testing processes. My primary role involved conducting black-box testing of our algorithmic trading platform and associated applications. I also played a crucial part in documenting new features, including automated algorithms, and developing detailed test plans.

I applied my mathematical and statistical expertise to analyze financial data and inform trading strategies. I worked closely with the trading team, assisting in research projects and identifying opportunities to improve our trading processes.One of my key projects involved analyzing a large portion of the U.S. market to identify potential arbitrage opportunities. I used hierarchical clustering to group stocks based on their relationships and estimated their expected price and volatility. Additionally, I optimized the models used by traders, enhancing their accuracy and efficiency through the use of a hybrid optimization method and multithreaded scaling.Finally, I focused on signal detection for algorithmic trading, analyzing time series data to determine the optimal timing for spread trades. My work in this area involved utilizing advanced statistical techniques like ARMAX, VARMA, and wavelet transforms.

- Taught introductory physics to college students in a fast paced summer session.- Assisted professors by teaching weekly recitations and grading homework and exams promptly.