New York City Metropolitan Area
My specialty is analyzing big data sets to tell stories about the data. I am an expert in data visualization, data manipulation, and data extraction.
· Successfully managed all aspects of a thriving optometry practice, including budgeting, financial planning, inventory management, and compliance with healthcare regulations. · Implemented effective marketing strategies, such as digital advertising, community outreach, and referral programs, resulting in a 20% increase in new patient acquisition year over year. · Spearheaded the integration of cutting-edge optometric technology and electronic health record (EHR) systems to enhance diagnostic accuracy, streamline operations, and improve patient care outcomes. · Utilized data analytics to optimize practice operations, including inventory management and staff scheduling, leading to a 20% reduction in operational costs and improved resource allocation.
• Created an all payer data warehouse that provided advanced analytics on over 300k attributed lives to Mount Sinai Hospital. • Manages an offshore team of coders who implements business logic adjudicating insurance claims data into a standardized format. • Data mines insurance claims data to generate meaningful statistical analytics on contractual utilization, financial performance, and market intelligence. • Creates and maintains insightful dashboards leveraging big data to help senior leadership make decisive decisions on day-to-day operations.
• Implemented a quality initiative program, which rates physician performance against benchmarks. Benchmarks were established amongst the subset of 580 physicians. • Assisted in the establishment of New York’s largest Medicare ACO that covers approximately 36k attributed lives. • Standardized data collection methods and reports to produce monthly dashboards that helped guide the decision-making processes of different departmental initiatives. • Developed different databases to support the service line needs. • Analyzed financial and operational reports for cost savings opportunities and trends.
see Project Manager section
• Project managed 110 different lean initiatives that resulted in the improvement of hospital operations through statistical methods such as control charts, run charts, t-tests, f-tests, linear regressions, and etc. • Analyzed complex data sets to establish baseline information before a RIE event and monitored the progress monthly after an RIE event was finished through scorecards. • Retired old RIE events that achieved their goal because they were no longer providing value in monitoring. • Established and defined metrics to help capture the efficiency and savings generated from each RIE event.
• Generated visual dashboards to help track different financial and operational metrics for year 2013. • Mentored newer analysts/coordinators on best practices to capture data, and provide adequate analytics to answer different questions asked. • Maintained and built several databases to provide statistical information for multiple initiatives within the Dept. of Medicine.
• Statistically decreased hospital LOS by finding bottlenecks within the patients stay and addressing them. Resulted in the reduction of (~6k patient days) • Improved databases to monitor the effectiveness of the health system wide initiatives. • Generated analytical reports (ADHOCS) to support each nursing unit in the reduction of excess/opportunity days. • Ensured data integrity of data collected and submitted to vendors. Manipulated the data if needed for optimal output. • Acted as a liaison between the hospital administration and the different nursing units in weekly patient safety rounds and unit-based meetings. • Founded the Geek Squad of NSUH, a monthly analytical group that is aimed at establishing best practices, reducing redundancy, and unifying the different data sources at NSLIJ.