Sr. Data Analyst
Current- Developed and maintained interactive dashboards using Tableau and Power BI to track key performance indicators (KPIs) and present findings to senior management.Health Sciences Focus- Analyzed over 1 million healthcare records, providing insights that contributed to a 15% improvement in patient treatment outcomes.- Developed predictive models using statistical and machine learning techniques, improving disease detection accuracy by 15%.E-commerce Retail Focus- Automated data processing with Python, reducing manual entry time by 30% and improving data accuracy for reporting.- Built comprehensive Power BI dashboards, cutting reporting time by 50% and providing actionable insights that led to more efficient decision-making in sales and inventory management.Cloud & Data Infrastructure Expertise- Data Notebooks: Leveraged Jupyter Notebooks in cloud environments (Amazon EMR, SageMaker, Azure ML Studio) to perform data analysis, build machine learning models, and automate workflows.- AWS: Utilized EC2, S3, and RDS for storing and processing large datasets; deployed data analysis solutions on EMR clusters for distributed processing.- Azure: Worked with VMs, Blob Storage, and SQL Databases for data storage, retrieval, and analysis; employed Azure ML Studio and Databricks for building scalable machine learning pipelines.- Google Cloud Platform (GCP): Extracted data using Google APIs for mining and analysis, incorporating real-time data into reports and dashboards.- Database Expertise: Hands-on experience with relational and NoSQL databases, including Oracle PL/SQL, MS SQL Server, MySQL, MongoDB, CouchDB, and Cassandra, for data extraction, transformation, and analysis.