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Power BI & Dashboards:
Built end-to-end Power BI dashboards using complex data models, interactive visuals, and performance-optimized reports to support business decision-making.

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SQL Server:
Developed optimized SQL queries, joins, and transformations to extract, clean, and manage large datasets for analytical and reporting purposes.

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KPI Design & Metrics:
Translate business objectives into clear, measurable KPIs that support performance tracking and decision-making.

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DAX & Data Modelling:
Applied advanced DAX functions to create dynamic measures, calculated columns, and KPIs, ensuring accurate insights across large and complex datasets.

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Machine Learning & Forecasting:
Implemented forecasting and predictive analytics models to identify trends, estimate future outcomes, and support data-driven planning.

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Problem Solving & Analytics:
Solved complex business problems through structured analysis, critical thinking, and data-driven insights that lead to measurable impact.

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Advanced Excel:
Used advanced formulas, pivot tables, Power Query, and automation techniques to analyse data efficiently and deliver reliable reporting solutions.

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R Programming:
Use R for statistical analysis, data manipulation, and predictive modelling, including forecasting and exploratory data analysis to uncover meaningful insights.

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Root Cause Analysis:
Investigate trends and anomalies to identify underlying causes and recommend effective solutions.

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© 2023 by Pravalika Dhulipalla. 

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