carol odiong

Projects:

1. Infectious Disease Data Collection/Management and assisting Occupational Health for Disease control.

2. Covid-19 Series Forecasting, Showing the Analytic ratios of the Virus By visualizations.

3. Data Monitoring During System Migration

Responsibilities.

• Created various Excel documents to assist with pulling metrics data and presenting information
• With Python (Programming Language), Tableau, Microsoft Power BI, R (Programming Language), Data Visualization, Business
• MySQL, Finance Statistics Java to stakeholders for concise explanations of best placement for needed resources
• Incorporated quality improvement and safety-enhancing methodologies and tools to improve workflow processes,
• Applied medical subject matter knowledge to improve IT systems and functions.
• Used advanced health informatics knowledge and judgment to promote colleague involvement in planning, decision-making and evaluating outcomes.
• Consulted professional standards of care, scientific evidence and practice to evaluate health care programs.
• Worked closely with subject matter experts to develop solutions and improvements for clinical systems.
• Influenced care outcomes by implementing improvements and optimizing health information technology.
• Integrated decision support, clinical pathways and best practices into health information technology to enhance delivery of care and workflows.
• Implemented healthcare systems for patient status monitoring, quality tracking and home care management.
• Analyzed electronic health records to identify areas for care improvement and cost reduction.
• Employed methods of identifying information, business and technical requirements to meet user complex and unique health information and technology needs.
• Ran quality metrics reports to maintain high standards of virtual care.
• Managed digitization of paper records.
• Researched and validated clinical data.
• Led, facilitated and attended focus groups and meetings to strategize workflow issues.
• Evaluated and optimized clinical software, applying established and end-user feedback.
• Developed and updated health information systems and interfaces.
• Operated computer-based systems to retrieve and store information and records.
• Applied knowledge, data, information and workflow to develop evidence-based models for health information technology solutions.
• Worked with product engineering team to define clinical requirements and assist with testing.

Projects

1. Inventory Management,

2. Analyzing and reporting the number of residents in the homes

3. Giving HR report all on staffs by payments and number of year inputted in the company.

4. report on all Covid - 19 cases and how to control the virus from spreading.

5. Forecasting on all respiratory Cases.

6. Report on number of rooms left for new residents to be taken in the homes.

Responsibilities

• Python, SQL, and Excel to help data scientists build marketing mix models that lifted ROI by 4 basis points
• Developed and maintained data warehouses and data marts to support business operations.
• Deployed predictive analytics models to forecast future trends.
• Developed data mining algorithms to identify and classify patterns in data.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Developed and implemented data governance policies and procedures.
• Created dashboards to monitor and track key performance indicators.
• Developed complex dashboard and reporting tools to track business performance metrics.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements.
• Designed and implemented tools to support strategic value chain optimization initiatives.
• Utilized data visualization tools to effectively communicate business insights.
• Tested data prediction algorithms based on historical data.
• Analyzed transactions to build logical business intelligence model for real-time reporting needs.
• Used statistical methods to analyze data and generate useful business reports.
• Collaborated with business-unit leaders to identify and prioritize problems.
• Built relationships and influenced and motivated employees to drive operational improvements.
• Collaborated with teams in product line transition to streamline manufacturing footprint.
• Interacted with internal customers to understand business needs and translate into requirements and project scope.
• Surveyed clients to ascertain requirements and expectations for product.
• Performed gap analysis to identify areas of improvement.
• Developed and improved integrated reporting and analysis capabilities.
• Executed analysis of risks and identified risk mitigation strategies.
• Articulated risks and issues to communicate concerns to various levels of management.
• Collaborated with stakeholders to define project objectives and criteria.
• Applied honed problem-solving skills to analyze and resolve issues impacting business operations and goal achievement.
• Analyzed key aspects of business to evaluate factors driving results and summarized into presentations.
• Improved business direction by prioritizing customers and implementing changes based on collected feedback.
• Delivered analysis of market, sales and consumer trend impact on long and short-term strategies.
• Analyzed open orders, backlog, and sales data to provide sales team with insights.

• Used business objects, business intelligence and other reporting tools to extract data from data solutions and data warehouses.
• Analyzed large amounts of data to identify trends and find patterns, signals and hidden stories within data.
• Leveraged text, charts and graphs to communicate findings in understandable format.
• Interpreted business questions and collaborated with engineering teams to identify data sources.
• Performed root-cause analysis on data-related system problems to recommend or execute corrective action.
• Created and automated data visualizations to present insights and tell compelling stories.
• Assessed large datasets, drew valid inferences and prepared insights in narrative or visual forms.
• Created dashboards to monitor and track key performance indicators.
• Developed and maintained data warehouses and data marts to support business operations.
• Created data models to support decision-making processes.
• Generated ad-hoc reports to evaluate specific business requirements.
• Collaborated with stakeholders to identify business needs and data sources.
• Developed customized reports, summarizing and presenting data in visually appealing format.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Developed and implemented data governance policies and procedures.
• Designed and developed data pipelines to acquire, clean and process data.
• Assisted with creating data cubes and OLAP models to improve data analysis.
• Developed complex dashboard and reporting tools to track business performance metrics.
• Generated standard and custom reports to provide insights into business performance.
• Provided technical support for troubleshooting analytics and reporting issues.
• Implemented business intelligence solutions to increase operational efficiency.
• Deployed predictive analytics models to forecast future trends.
• Developed data mining algorithms to identify and classify patterns in data.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.

• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements.
• Tested data prediction algorithms based on historical data.
• Documented effective and replicable methods for extracting data and organizing data sources.
• Analyzed transactions to build logical business intelligence model for real-time reporting needs.
• Implemented business intelligence solutions to increase operational efficiency.
• Provided technical support for troubleshooting analytics and reporting issues.
• Developed and maintained data warehouses and data marts to support business operations.
• Created dashboards to monitor and track key performance indicators.
• Developed data mining algorithms to identify and classify patterns in data.
• Generated standard and custom reports to provide insights into business performance.
• Created data models to support decision-making processes.
• Collaborated with stakeholders to identify business needs and data sources.
• Developed complex dashboard and reporting tools to track business performance metrics.
• Assisted with creating data cubes and OLAP models to improve data analysis.
• Generated ad-hoc reports to evaluate specific business requirements.
• Developed customized reports, summarizing and presenting data in visually appealing format.
• Utilized data visualization techniques to present and explain complex data sets.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Deployed predictive analytics models to forecast future trends.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Optimized data access and storage to improve performance of analytics systems.
• Identified patterns and trends in large data sets and provided actionable insights.
• Developed and implemented data governance policies and procedures.
• Designed and developed data pipelines to acquire, clean and process data.
• Implemented code solutions to answer analytic questions and test and assess new methods.
• Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations for business users.
• Worked with business intelligence software and various reports to glean insights into trends and prospects.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Participated in requirements meetings to understand business needs.
• Extracted and interpreted data patterns to translate findings into actionable outcomes.
• Used statistical methods to analyze data and generate useful business reports.
• Collaborated with business-unit leaders to identify and prioritize problems.
• Upheld security and confidentiality of documents and data within area of responsibility.