Business Intelligence Power Bi

Ronith Mantheni

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Detail-oriented and analytical-minded MBA Business Analytics student at Golden Gate University, San Francisco, passionate about transforming data into actionable insights. Skilled in Power BI, Tabular Desktop, Business Intelligence, and Data Visualization, complemented by Python, SQL, Java, C/C++, and HTML/CSS expertise. Adept at developing interactive dashboards, performing data analysis, and applying DAX and Power Query for insightful reporting. Seeking a data visualization internship in San Francisco to contribute analytical skills to innovative, data-driven business solutions.Education

Master of Business Administration in Business Analytics

Golden Gate University, San Francisco, California, USA

Cumulative GPA: 3.733 (3.000 required)

Expected Graduation: 2026

Relevant Coursework: Business Intelligence, Data Visualization, Decision Support Systems, Predictive Analytics,

Bachelor of Commerce in Computer Applications

Siva Sivani Degree College (Affiliated with Osmania University)

Percentage: 80.28%

Graduation Year: 2023Technical Skills

Data Visualization: Power BI Desktop, Tabular Desktop, Tableau

Programming: Python, Java, C/C++, HTML/CSS

Business Intelligence: DAX, Power Query, SQL, Power Pivot

Data Analysis & Reporting: Statistical Analysis, Excel, Google Analytics

Machine Learning Concepts: Regression Analysis, Clustering, Classification

ETL & Data Handling: Data Cleaning, Data Modeling, Data Integration

Projects

Power BI Upskilling Project

Designed and implemented interactive Power BI dashboards for real-world business analytics.

Applied DAX functions, Power Query, and SQL-based data extraction for effective reporting.

Developed data-driven insights to support strategic decision-making.

Superstore Data Analysis (Power BI, 2011-2014)

Created dynamic dashboards to analyze sales, profits, and customer trends over time.

Utilized KPIs, trend analysis, forecasting, and segmentation to enhance business intelligence.

Implemented interactive filtering options for user-driven insights.

Predictive Sales Analysis Using Python & Power BI

Built a machine learning regression model to predict future sales trends.

Integrated Python-based analytics with Power BI visualizations for comprehensive reporting.

Analyzed customer behavior patterns to optimize business performance.

Leadership & Activities

Active Member, Golden Gate University Business Analytics Club

Engaged in Online Data Analytics Communities for Learning & Networking

Contributor to Open-Source Power BI Dashboards

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