Power Bi Data Analyst

SAI PREETHI PAVANIKA

Bridgeport,, Connecticut.

201-***-**** **************@*****.***

Education

University of Bridgeport September 2023 – May 2025

Master of Science in Analytics and Systems Bridgeport,Connecticut. Jawaharlal Nehru Technological University June 2017 – July 2021 Bachelor of Technology, Computer Science and Engineering Hyderabad,India Experience

The Comet Lab, University of Bridgeport, Connecticut August 2024 –December 2024

Graduate Research Assistant

•Developed a chatbot using Python and SQL to enhance data access on the SAVI website, reducing search times by 30%.

•Tracked and analyzed satisfaction metrics in Power BI, raising user satisfaction from 75% to 85% and improving query resolution by 40%.

Office of International Affairs, Bridgeport University, Connecticut January 2025 – April 2025

International Student Success Program Assistant.

•Analyzed program performance data in Tableau and Excel, identifying key engagement drivers that led to a 15% increase in student participation and a 20% improvement in event planning efficiency.

•Leveraged SQL and Tableau to segment student data, resulting in targeted outreach strategies that boosted event attendance by 30% and improved onboarding satisfaction by 50%.

•Built Power BI dashboards to forecast event attendance and track student success metrics, improving planning accuracy by 25%, reducing overstaffing by 15%, and enhancing retention rates.

Capgemini Technology Services August 2021 – July 2023

Data Analyst, Hyderabad, India

•Collaborated with the DBS client team to streamline data integration processes, enhancing operational efficiency by 25%

•Designed and implemented ETL pipelines to automate data extraction and transformation, reducing manual intervention by 40%

•Developed predictive models to analyze customer behavior patterns, resulting in a 20% improvement in user engagement metrics.

•Conducted in-depth root cause analysis of system inefficiencies, reducing data processing errors by 15%

•Created detailed documentation for workflows and data processes, improving cross-team communication and productivity by 10%

•Performed data cleansing and transformation to ensure data accuracy and consistency in reports, supporting better-quality insights for strategic decision-making

•Delivered weekly insights reports to stakeholders, maintaining a 95% client satisfaction rate and aligning deliverables with organizational goals.

Technical Skills

Data Analysis and Visualization: Python, SQL, Tableau, Power BI, Microsoft Excel

Data Management: Data Cleaning, Data Extraction, ETL Pipelines

Tools and Frameworks: Murex 3.1, Apache spark, VS Code, GIT, BitBucket, Confluence, JIRA, Qualitrics, Linux Project and Process Management: JIRA, Requirement Gathering, Confluence,Microsoft Office Communication and Collaboration: Teamwork, Stakeholder Engagement, Problem-Solving

Projects

Stock Market Analysis August 2024

•Examined stock market data to uncover trends and patterns affecting price movements, providing actionable insights for better financial decision-making. Developed a predictive model to support investment strategies by identifying key factors driving market changes, showcasing the value of data-driven approaches in finance.

Stroke Detection April 2024

•Analyzed factors contributing to stroke risk, correlating health metrics with key risk indicators. Designed visualizations to effectively communicate findings, providing actionable insights for healthcare providers. Used Python, Streamlit, and SQL for data analysis, generating comprehensive statistical summaries for stakeholders.

Customer Segmentation for Targeted Marketing January 2024

•Conducted customer segmentation using Python and SQL, leveraging K-means and hierarchical clustering to identify high-value groups, boosting engagement by 30%. Built Power BI and Tableau dashboards for visualization and automated data preprocessing, reducing manual effort by 40%.

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