Hackettstown, New Jersey, United States
Data Analyst with 2 years of experience in data analytics, medical records management, and clinical decision support. Proficient in ETL processes and MySQL database management, with a strong ability to leverage Business Intelligence (BI) tools, including Power BI, for effective data visualization. Experienced in medical records systems, HL7 standards, Electronic Health Records (EHR), and HIPAA compliance. Demonstrated expertise in statistical analysis, regression analysis, hypothesis testing, and forecasting. Skilled in creating interactive dashboards using Tableau and performing data extraction and manipulation using SQL. Committed to delivering actionable insights to support data-driven decision-making in healthcare environments.
• Analyzed healthcare data from diverse sources, including EHR systems and claims data, to identify trends, patterns, and opportunities for improvement, resulting in a 35% reduction in unnecessary costs, ultimately enhancing patient care and outcomes. • Performed exploratory data analysis (EDA) to uncover insights such as variations in efficiency among devices using ggplot2 in R, leading to a 15% improvement in understanding device performance and informing targeted optimization strategies. • Examined the laws and regulations (HIPAA, HL7) before implementing the EMR software. • Settled and maintained dashboards and reports utilizing healthcare analytics tools to track key performance indicators (KPIs) and monitor healthcare quality metrics, resulting in a 20% increase in data accessibility. • Responsible for leveraging ETL tools and process design to validate data for Business Intelligence objectives, resulting in a 15% increase in data accuracy and a 10% improvement in report generation efficiency. • Designed self-service reports using Power BI Desktop, showcasing key performance indicators and delivering actionable business insights, contributing to a 20% improvement in decision-making processes. • Proficient with Databases like MySQL and SQL Server, ensuring efficient data storage, retrieval, and analysis. • Drove end-to-end machine learning workflow, applied Python code for gathering the data from AWS Snowflake, data preprocessing, and modeling for reducing time by 10%.
• Leveraged Power BI to craft dynamic interactive visualizations and intuitive dashboards, empowering stakeholders with actionable insights and facilitating informed data-driven decision-making processes. • Monitored and optimized the performance of data-related services within AWS environments, fine-tuning configurations to sustain optimal data processing capabilities. • Identified and tracked financial data-related issues to completion using tools like JIRA, facilitating effective issue resolution and project success. • Operated Pandas and NumPy to perform efficient data manipulation, cleaning, and preprocessing tasks on large datasets to reduce errors by 20%.