Data Analyst Analysis

Niharika Nagubandi

Data Analyst

****.*********@*****.*** +1-989-***-**** LinkedIn GitHub

PROFESSIONAL SUMMARY

Data Analyst with over 3 years of experience specializing in Tableau dashboard creation, data analysis, and automation. Proven expertise in designing and deploying Tableau Creator dashboards and Tableau Prep workflows, leveraging Python, SQL, and Microsoft Excel to drive business intelligence and reporting efficiency. Skilled in data wrangling, real-time troubleshooting, and industry-specific use cases across healthcare and technology sectors. Adept at implementing automated ETL solutions to enhance data integrity and streamline business processes.

WORK EXPERIENCE

United Healthcare Group, USA Data Analyst August 2023 – Present

Developed Tableau Creator dashboards to track patient care metrics, hospital performance, and resource allocation, improving decision-making.

Automated data workflows using Tableau Prep and AWS Glue, increasing efficiency by 30% while reducing reporting errors by 20%.

Utilized Python and SQL to create predictive analytics models in Databricks, forecasting patient readmission risks and optimizing resource planning.

Implemented geospatial analysis to visualize healthcare accessibility across regions.

Collaborated with stakeholders using JIRA to document and track progress, ensuring timely project delivery.

Experion Technologies, India Data Analyst June 2020 – July 2022

Designed interactive Tableau dashboards and Tableau Prep workflows to analyze real-time user interactions and market trends.

Conducted data validation in SQL Server, ensuring data accuracy and consistency across multiple systems.

Developed predictive models (Random Forest, Cluster Analysis, Regression) to optimize marketing strategies and customer segmentation.

Automated ETL processes using SSIS and Talend, reducing manual data integration tasks by 40%.

Assisted in data analysis for geospatial projects, leveraging ESRI tools for mapping insights.

SKILLS

Languages:

Python, R, SQL, SAS

Packages

Pandas, NumPy, Matplotlib

Databases:

MySQL, Oracle, SQL Server, Snowflake, MongoDB, PostgreSQL

Visualization Tools:

Tableau, Power BI, Excel, Looker, Cognos

ETL & Data Integra:

SSIS, Talend, AWS Glue

Version Control Tools:

Git, GitHub, JIRA

Data Manipulation

Excel (Pivot Tables, VLOOKUP, Macros), Alteryx

Cloud Platform:

AWS (EC2, Redshift, S3), Azure, GCP, Databricks

Data Analysis

Data Modeling, Data Warehousing, Data Wrangling, Predictive Analysis

Methodologies:

Agile, SDLC, Waterfall

CERTIFICATIONS

•Google Data Analytics January 2025

•AWS Certified Cloud Practitioner November 2024

•Business Data Analytics Certificate May 2024

•Accenture Data Analytics and Visualization Job Simulation December 2024

•Lean Six Sigma December 2023

EDUCATION

Central Michigan University, Mount Pleasant, MI

Masters in Information Technology, Major in Business Data Analytics

RELEVANT COURSES

Business Data Analytics, Application Development (Python), Data Visualization, Business Decision Modeling, Database Management for Business Systems, Information Systems, Applied Lean Six Sigma, System Analysis and Design

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