Data Analyst
CurrentCollected & analysed large data sets from clients using Python/Excel/Power BI/MS-SQL○ Developed Python scripts & utilized libraries such as NumPy, Pandas, & Matplotlib to perform datacleaning, preprocessing, & analysis on large datasets.○ Built complex SQL queries for data extraction from the 20M+ data using CTE, aggregate analyticalfunctions, & joining multiple tables.○ Created automated dashboards & reports using Excel’s advanced features, such as PivotTables… Show more Collected & analysed large data sets from clients using Python/Excel/Power BI/MS-SQL○ Developed Python scripts & utilized libraries such as NumPy, Pandas, & Matplotlib to perform datacleaning, preprocessing, & analysis on large datasets.○ Built complex SQL queries for data extraction from the 20M+ data using CTE, aggregate analyticalfunctions, & joining multiple tables.○ Created automated dashboards & reports using Excel’s advanced features, such as PivotTables, PowerQuery, & Power Pivot, enabling stakeholders to gain valuable insights.○ Utilized Excel functions, formulas, & conditional formatting to manipulate & analyze large data sets,identifying trends & patterns.○ Manipulated & analyzed large data sets using Excel’s built-in functions, such as VLOOKUP, INDEX-MATCH,& SUMIFS.○ Experience in creating clear & concise visualizations, charts, & graphs to present data-driven insights &key performance indicators (KPIs) to stakeholders & decision-makers.○ Strong analytical & problem-solving skills to identify issues, investigate root causes, & propose data-drivensolutions to optimize revenue cycle performance, reduce denials, & improve cash flow.○ Generated insights-driven reports through data mining, analysis, & interpretation, utilizing scripting inSQL & forecasting models in Excel.○ Converted data/raw data into actionable insights by predicting & modelling future outcomes usingPython/Excel○ Utilized MS-SQL, data warehousing program, Excel & Power BI dashboard/visualization tool sets forintelligence & analysis Show less