• Formulated and documented data-centric business requirements, identifying critical data needs and addressing issues in Electronic Medical Records (EMR), billing systems, and custom healthcare applications across the hospital network.• Engineered large-scale data pipelines and structures using SQL and Python, achieving a 20% improvement in data processing efficiency and ensuring streamlined data collection and standardization.• Maintained HIPAA compliance when handling sensitive patient information, upholding strict confidentiality and ethical standards in all data management processes.• Developed and implemented a system to generate weekly patient health profiles for those who missed checkups, resulting in a 30% increase in exam adherence and helping reduce the gap in patient care.• Created executive-level KPI dashboards and reports in Power BI, enabling healthcare leaders to make strategic decisions based on clear, insightful data visualizations.• Collaborated with clinical researchers to support predictive modeling initiatives, utilizing logistic regression, KNN, SVM, and random forest algorithms to identify trends and improve healthcare delivery

• Conducted comprehensive Exploratory Data Analysis (EDA) to uncover patterns, trends, and outliers in large sales and operations datasets, providing actionable insights that improved data-driven decision-making.• Developed and managed interactive dashboards using Tableau and Power BI, which streamlined data visualization for cross-functional teams and reduced report generation time by 35%.• Enhanced Excel-based analytical tools by creating pivot tables, VLOOKUPs, and other advanced functions, improving the accuracy and efficiency of data processing and reporting.• Utilized Python libraries (NumPy, Pandas) to automate data wrangling processes, significantly reducing data preparation time and enabling more efficient analysis.• Supported customer segmentation initiatives by applying K-means clustering on EMR data, facilitatingbetter-targeted marketing strategies and a deeper understanding of customer behavior.• Used AWS services (EC2, S3) to address data storage needs and optimize cloud-based data workflows, ensuring scalability and efficiency in data management practices.• Conducted root cause analysis of insurance claim data, identifying patterns that reduced overhead costs by 70% through process optimization.• Established a management dashboard in Power BI to track call center metrics and KPIs, improving performance insights and decreasing reporting time by 35%.• Collaborated with cross-functional teams to align data insights with business goals, resulting in optimized workflows, improved data quality, and a 25% increase in productivity across departments.• Utilized SQL and MySQL to create and optimize queries for data extraction and analysis, contributing to more efficient database management and faster access to critical information