Health Data DecisionsData Analyst
Jan. 2019 - Dec. 2021Greater BostonReport Development and Data Visualization: Translate complex healthcare payor data sets, including EHR and claims data, into actionable reporting frameworks and models, enabling KPI visualization to support end users.
Develop comprehensive dashboards and data visualization tools to effectively tell the story behind the data.
Led the migration of over 50 existing reports from Excel to Power BI, resulting in a 35% increase in reporting efficiency.
Utilize advanced data modeling, DAX, and M to develop sophisticated reports in Power BI.
Data Analysis: Apply advanced data analysis techniques to deliver insightful analyses, informing critical decision-making processes within the organization.
Identify trends, patterns, and opportunities for efficiency gains in healthcare payor data, including EHR, claims data, and ICD-10 codes.
Perform data mining, data modeling, and related analyses to drive decision making and monitor performance.
Use SQL and Teradata to extract and transform healthcare data, including EHR and claims data, for analysis.
Improved data processing speed by 40% through optimized SQL queries and ETL processes.
Conduct data analysis and data science modeling using Python, leveraging libraries such as matplotlib, scikit-learn, seaborn, plotly, and Javascript d3.
Employ machine learning techniques (e.g., k-nearest neighbor, linear regression, ensemble methods, random forests) to uncover deeper insights.
Data Management: Develop detailed reports from SQL for clients, ensuring accuracy and relevance.
Perform ETL processes in SQL Server Management Studio (SSMS) to maintain data integrity and consistency.
Communication: Effectively communicate analysis findings and insights to stakeholders across various teams, emphasizing actionable recommendations.
Develop business-focused KPI dashboards and visualizations to monitor company health, proactively flagging irregularities and trends.
Innovation and Scalability: