Data Analyst

Greeshma Sree Nagalla

Houston, TX *************@*****.*** +1-346-***-****

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Summary

Data Analyst with 3 years of experience in Python, SQL, Power BI (DAX), and ETL pipelines. Proven ability to translate business needs into actionable insights through dashboard development, technical storytelling, and stakeholder collaboration. Skilled in QA-focused data validation, documentation, and AI-enabling analysis including quantifying data for automation and AI pipelines. Exposure to Retrieval-Augmented Generation (RAG) and mentoring junior analysts. Education

University of Houston, Houston, TX Aug 2023 – May 2025 M.S. in Computers and Systems Engineering GPA: 3.66/4 Relevant Coursework: Database Management Tools for Business Analytics, Open Systems, Advanced Imaging Techniques, Data Analytics for Engineering Management

Skills

Data Query & ETL: SQL (Window Functions, CTEs), AWS Athena, AWS Glue, Azure SQL Database, Azure Data Factory, Power Query, Smartsheet Automation

Programming & Analysis: Python (Pandas, NumPy, Matplotlib, Seaborn), R (lm function), Statistical Hypothesis Testing, Time Series Analysis, Regression

Data Visualization: Power BI (DAX, Slicers), Tableau (LOD Calculations, Filters), Excel (PivotTables, VLOOKUP) Databases & Storage: MySQL, PostgreSQL, SQLite, Snowflake, CSV, AWS S3 Cloud & Tools: AWS (S3, RDS, Glue), Azure, Google Cloud Platform (BigQuery), Jupyter Notebook, Postman Methodologies: Exploratory Data Analysis, Feature Engineering, Data Validation, Agile, Data-Driven Decision Making Professional Experience

University of Houston, Data Analyst Sep 2023 – Present

– Analyzed departmental procurement and budget data using Python (Pandas, NumPy) and visualized spending patterns with Matplotlib and Seaborn, delivering actionable insights that helped reduce departmental costs by 15%.

– Automated ETL workflows with Power Query and Smartsheet, and developed Power BI dashboards and Excel reports to track procurement KPIs, reducing data preparation time by 40% and enabling 30% faster decision-making by departments. Capgemini Technology, Data Analyst Aug 2022 – Jul 2023

– Developed and maintained a dynamic Power BI webinar dashboard using DAX and SQL with 15+ complex calculations and real-time metrics, increasing insight accuracy by 30% across 100+ webinars; supported UAT by gathering end-user feedback to validate functionality and ensure reporting accuracy.

– Automated ETL processes and improved dashboard interactivity in an Agile environment by collaborating with 5+ cross-functional teams, enhancing report delivery, stakeholder communication, and operational efficiency by 25%. Capgemini Technology, Data Analyst Intern Jan 2022 – Jul 2022

– Designed and automated scalable Power BI and Excel dashboards leveraging Power Query, DAX, and Pivot Tables to track user registration, login activity, retention, and engagement metrics across 20+ business units.

– Enhanced reporting efficiency by 40% through Excel VBA scripting, advanced data modeling, and KPI automation, enabling data-driven decision-making, cohort analysis, and strategic insights for executive leadership. Academic Projects

Sales Performance & Trend Analysis Power BI, SQL

– Developed an automated Power BI dashboard using SQL and Power Query to analyze revenue trends, product perfor- mance, and year-over-year growth across multiple categories.

– Created DAX measures and interactive visuals for key sales KPIs, enabling leadership to identify underperforming seg- ments and optimize resources, contributing to a 7% revenue increase. Healthcare Patient Insights Dashboard SQL, Tableau, Excel

– Utilized SQL (JOINs, CTEs, filtering) to clean and analyze hospital patient data, uncovering trends in admissions, treatment durations, and discharge types while ensuring HIPAA compliance and supporting regulatory reporting efforts.

– Built an interactive Tableau dashboard to monitor key metrics such as length of stay and readmission rates, enabling data-driven resource allocation and enhancing operational planning efficiency by 20%. Disneyland Visitor Experience Dashboard Python, NLTK, TextBlob, Tableau

– Leveraged Python and NLP libraries (NLTK, TextBlob) to analyze over 40,000 customer reviews, identifying key visitor concerns and satisfaction trends across Disneyland parks.

– Engineered 45+ features from 6 raw fields and developed interactive Tableau dashboards segmented by year and country to visualize insights for strategic decision-making.

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