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Amrutha Varshini

Amrutha Varshini

Data Analyst | SQL • Python • Excel • Power BI

Talent
HyderabadMember since September 12, 2026
Data Analysis & ReportingData VisualizationData CleaningData Quality AssuranceTrend & KPI AnalysisSQLMySQLSQLiteJoinsSubqueriesCTEsWindow FunctionsPower BIDAX measuresPythonPandasFlaskMicrosoft ExcelPivot TablesVLOOKUPSUMIF/SUMIFSCOUNTIF/COUNTIFSNested IF LogicPowerPointChatGPT & AI Productivity ToolsAnalytical ThinkingAttention to DetailProblem SolvingTeam CollaborationCommunication
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Data Analysis & ReportingData VisualizationData CleaningData Quality AssuranceTrend & KPI Analysis

About

M.Sc.

Computer

Science graduate with hands-on experience in data processing, quality assurance, and operational analytics gained as a Delivery Associate at ICE Data Services. Proficient in SQL, Python, Microsoft Excel, and Power BI, with a track record of improving data accuracy and streamlining reporting workflows. Seeking an entry-level Data Analyst role to apply analytical thinking and data-driven insights to support business decision-making.

Experience

Delivery Associate – DDS Operations - ICE Data Services India Pvt. Ltd. - Hyderabad, Telangana

(2025-07)

  • Process, validate, and maintain large volumes of financial and business data, ensuring high accuracy and data integrity across daily deliverables.
  • Perform systematic data quality checks to detect and resolve discrepancies, reducing errors passed downstream into reporting.
  • Analyze operational datasets to identify trends, monitor SLA performance, and ensure timely workflow completion.
  • Collaborate cross-functionally with teams to troubleshoot data-related issues and implement process improvements.
  • Prepare structured reports and dashboards using Excel to support business operations and management decision-making.
  • Maintain consistent, reliable data pipelines across business units by working within internal data systems.
  • Identified a gap in manually tracking multiple client queues with differing SLA/TAT requirements and designed an AI-assisted monitoring dashboard to prioritize workload by volume, SLA/TAT, and pending files, reducing manual monitoring effort and the risk of missed files.

Education

M.Sc. - Computer Science - Osmania University, St Francis College for Women, Begumpet, Hyderabad (2023-01 - 2025-12)

B.Sc. - Computer Science - Osmania University, Prathibha Degree College, Hyderabad (2020-01 - 2023-12)

Skills

Data AnalystSQLPythonExcelPower BI

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