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Chandini Sai Kumar Dukka

Data Analyst
$50 / hour

About Candidate

Education

M
Masters 2024
Indiana University Bloomington
B
Bachelors 2019
PVP Siddhartha Institute of Technology

Work & Experience

D
Data Analyst 07/26/2024
QData

● Boostedtheinsurance claim processing efficiency and accuracy by 25% using SSIS and SQL. ● AuthoredSQLscriptsfor 100 SQLtables, ensuring seamless data migration and schema integrity. Little Elm, Texas Jul 2023- Present ● DesignedLookMLdashboardsinLooker,enhancinginsights and decision-making, which contributed to a 25% increase in processing efficiency.

D
Data Analyst 08/22/2022 - 09/30/2023
Indiana University Bloomington

● EmployedSQLfordatamanipulationand Power BIforcreating dynamic dashboards to enhance operational insights. ● CreatedPowerBIreportsfor midtermplanning and business KPIs by extracting data with SQL queries from Azure Synapse Analytic. ● DevelopedaStudentEnrollment Monitoring System in Power BI with automated email alerts, reducing response time to enrollment fluctuations by 50%. ● ScheduledAirflow DAGstoensuredailydataupdates andbuilt dynamic Power BI dashboards to translate forecast results.

B
Business Analyst 06/01/2021 - 07/01/2022
Capgemini

● OptimizedSQLqueriestoreduceTableau dashboard loading time by 30%, enhancing user experience and efficiency. ● BuiltanETLpipeline with Azure Data Factory for financial data, developed a SQL forecasting model, improving accuracy by 20%, with results visualized in Tableau. ● Implementedalogistic regression model with PySpark to predict customer churn in finance, enhancing retention by 20%, and visualized the results in a comprehensive Tableau dashboard. ● Automatedfinancialreporting in Tableau by setting up alerts, sending emails, and scheduling report deliveries.

D
Data Analyst 06/12/2019 - 06/30/2021
Capgemini

● Integrated anETL pipeline using SSIS and Python to automate healthcare data processing into Azure Synapse Analytics, improving consistency and reducing manual work by 60%. ● Createdaninteractive Power BI dashboard using DAX to track KPIs, leading to a 15% boost in efficiency and providing real-time insights for quicker decisions. ● ConductedA/BtestingwithPython andSQL,boostinguser engagementby12%throughaPower BIdashboard. ● DevelopedaPySpark-basedETL pipeline with a Random Forestmodeltopredict patient care needs, enhancing care availability by 30% and reducing costs, with results visualized in Power BI.