Rohitha Naga Sri Nandigam

About Rohitha Naga Sri Nandigam

I’m a Data Analyst with 5+ years of experience in data analytics, business intelligence, and machine learning, passionate about transforming complex data into meaningful insights that drive strategic decisions. My work focuses on leveraging data to uncover trends, optimize processes, and enable organizations to make smarter, data-driven decisions.Currently working with EY GDS, I analyze large-scale datasets and develop analytics solutions that support business performance monitoring and operational improvements. I have experience building interactive dashboards, designing data pipelines, and performing exploratory and statistical analysis using tools such as Python, SQL, Power BI, and Tableau.Previously at Cognizant, I worked on enterprise analytics and reporting initiatives, where I collaborated with cross-functional teams to analyze operational data, develop automated reporting solutions, and improve visibility into key business metrics.My technical expertise includes data analysis, data visualization, ETL processes, predictive modeling, and machine learning. I enjoy working at the intersection of technology and business to turn raw data into clear, actionable insights.Key Skills:• Python • SQL • Power BI • Tableau • Data Visualization• Data Cleaning & Transformation • ETL Pipelines • Machine Learning• Statistical Analysis • Business Intelligence • Dashboard DevelopmentI’m always interested in connecting with professionals and organizations working on innovative data-driven solutions. Feel free to connect or reach out to discuss analytics, data science, and opportunities in the data ecosystem.

Experience

1. Data Analyst

   EY

   Aug 2024 — Present · US

   Analyze large-scale enterprise datasets using Python, SQL, and advanced analytics techniques to identify trends, patterns, and actionable insights that support strategic business decisions.Design and develop interactive dashboards and business intelligence reports using Power BI and Tableau, enabling stakeholders to monitor KPIs, operational metrics, and performance indicators.Build and maintain ETL pipelines to extract, transform, and integrate data from multiple sources including relational databases, APIs, and enterprise systems.Perform exploratory data analysis (EDA) and statistical analysis to uncover correlations, anomalies, and predictive insights that drive business improvements.Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to translate business requirements into scalable analytics solutions.Improve data quality and reporting accuracy through data validation, transformation, and governance practices.Deliver data-driven insights and visualization reports that enhance decision-making and optimize operational processes across projects.

Education

• University of Arkansas at Little Rock

  Master's Degree, Computer and Information Sciences, General

• SRM University, AP

  Bachelor of Technology - BTech, Computer Science and Engineering