Ramya
Professional Summary
Junior Data Analyst with 4+ years of experience delivering analytics, ETL, and executive reporting across field operations, healthcare, and IT services. Strong hands-on experience in Python and R for data preparation and modeling, and SQL for querying and optimizing relational databases. Delivered end-to-end ETL pipelines and data consolidation using Talend and SSIS to create reliable analytics datasets. Built interactive dashboards and visual reports in Power BI and Tableau to surface KPIs and operational trends for senior leadership. Implemented data quality checks and anomaly detection in Jupyter Notebook and Python to improve trust in reporting. Experienced with cloud-hosted data workflows on AWS, version control with Git, and applying data governance and modeling practices to support scalable analytics delivery.
Technical Skills
Work Experience
- Spearheaded development of interactive Power BI dashboards to surface operational KPIs and trends for senior leadership.
- Implemented ETL workflows in Talend and SQL to consolidate field and operational data into SQL Server and NoSQL stores, reducing manual reconciliation through automation.
- Developed forecasting and scenario models in Python and R to support operational planning and resource allocation.
- Automated data validation and anomaly detection routines in Python and Jupyter Notebook to improve dataset quality and detect inconsistencies early.
- Optimized SQL queries and indexing on SQL Server to improve report performance and refresh reliability.
- Versioned analytics and pipeline code with Git to enforce reproducible deployments and simplify collaboration across the analytics team.
- Managed cloud-hosted datasets on AWS to centralize source files and support scheduled ETL and dashboard refreshes.
- Designed and maintained Power BI dashboards to monitor departmental KPIs and operational performance for clinical and administrative leaders.
- Integrated, normalized, and modelled EHR and operational data using SSIS and Python-based ETL processes to create consistent analytics datasets.
- Conducted statistical analyses and trend modeling in R and SAS to identify process bottlenecks and recommend clinical and operational improvements.
- Developed parameterized SQL queries and automated reporting scripts using SQL and Excel macros to streamline monthly operational reporting.
- Monitored and validated ETL pipelines with automated checks to ensure reliable analytics delivery and data consistency across sources.
- Partnered with clinical and business stakeholders to translate requirements into executive-ready dashboards and actionable recommendations.
- Managed and maintained SQL Server and MySQL databases, implementing schema updates and maintenance tasks to ensure data accuracy and integrity.
- Built Power BI and Tableau dashboards to communicate client KPIs and operational reports for stakeholder reviews.
- Automated report generation and ETL tasks using Talend and Python scripts to reduce manual effort in data preparation.
- Optimized SQL queries and indexing strategies to improve query latency and dashboard responsiveness.
- Performed market intelligence and internal reporting analyses using R to surface operational opportunities and efficiency gains.
- Ensured compliance with data governance and quality standards by implementing validation rules and audit checks across pipelines.
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