Bharadwaja S
Data Analyst @Samsung SDS America
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WORK HISTORY
Data Analyst @Samsung SDS America
Bellevue, WA, US
Designed and maintained ETL pipelines using AWS Glue and Lambda to automate data integration from multiple systems. Built interactive dashboards in Power BI, Tableau and Quicksight to monitor key metrics like yield rates, defects, and downtime. Applied Python and R for trend analysis and forecasting, helping identify areas for cost savings and operational improvements. Integrated large datasets from AWS Redshift, S3, and DynamoDB to support reporting and machine learning models. Used Excel PivotTables and Power Query for quick data exploration and ad hoc analysis, especially when handling raw datasets before integration into larger BI tools. Automated end-of-line test result aggregation, significantly reducing manual reporting time.Developed real-time monitoring and alerting systems to quickly flag production issues, improving response times. Conducted A/B testing on manufacturing process changes and analyzed the impact on efficiency.Partnered with cross-functional teams to document data definitions, KPIs, and maintain data governance standards. Worked extensively with Python libraries including Pandas, NumPy, Matplotlib, and Scikit-learn fordata cleaning, analysis, visualization, and predictive modeling. Created flexible SQL-driven control tables to manage ETL logic without modifying code. Delivered custom dashboards for plant managers to meet specific KPI tracking needs. Managed reporting version control using GitHub, ensuring consistency and traceability across releases.
EDUCATION
Trine University
Master of Science - MS, Information Science/Studies
ABOUT BHARADWAJA S
Data Analyst with over 6 years of experience delivering actionable insights across banking, manufacturing, and enterprise sectors. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn), R, and advanced visualization tools including Power BI, Tableau, QuickSight, Looker, and Qlik. Skilled in designing ETL pipelines (Apache Spark, Azure Data Factory, AWS Glue, Informatica) and integrating cloud-based solutions on Azure, AWS, and GCP. Experienced in data warehousing with Snowflake, Redshift, and Synapse, as well as working with Salesforce and SAP. Known for creating KPI dashboards, automating reporting, and building predictive models that improve efficiency, reduce costs, and support data-driven decisions.
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