Data Analyst - SQL, Python, Tableau, Power BI Specialist

RUDRA SAI RAMA PUNEETH VARMA ADDURI

720-***-**** Richmond, VA, United States of America Email LinkedIn PROFESSIONAL SUMMARY

Data Analyst with 4+ years of experience transforming complex, large-scale datasets into actionable business insights through SQL, Python, Tableau, and Power BI. Led automation and reporting optimization initiatives that reduced reporting time by 50% and improved data processing efficiency by 30%. In the first 30 days, I streamline reporting workflows, validate data integrity, and enhance dashboard performance to deliver executive-ready insights. Experienced in data cleaning, statistical analysis, KPI development, forecasting, ETL automation, and cross-functional stakeholder collaboration. Strong foundation in data governance, relational databases, data warehousing, and cloud analytics platforms with a results-driven, decision-support mindset. EDUCATION

University of Colorado Denver Aug 2023 - May 2025

Master of Business Analytics Denver, Colorado, USA Andhra University Jun 2017 - Apr 2021

Bachelor Of Computer Science Vizag, India

CORE SKILLS

Data Collection & Preparation Data Cleaning Data Validation Data Governance SQL Excel Tableau Power BI Statistical Analysis Forecasting Predictive Modeling Correlation Analysis ETL Processes Data Warehousing Relational Databases Data Modeling Python R Automation Reporting Optimization KPI Development Executive Reporting Business Intelligence Dashboard Design Data Reconciliation Anomaly Detection Data Integrity Assurance Quality Control Cross-Functional Collaboration Stakeholder Communication Documentation Agile Methodologies SKILLS

• Programming & Querying: SQL (MySQL, PostgreSQL, SQL Server), Python (Pandas, NumPy, Scikit-learn), R

• Data Visualization: Tableau, Power BI, Amazon QuickSight

• Databases & Warehousing: AWS RDS, Redshift, Snowflake, Databricks, PostgreSQL, MySQL

• Big Data & Cloud Platforms: AWS (S3, EC2, RDS), Spark (Databricks), CloudWatch

• Data Engineering & ETL: Python ETL pipelines, SQL transformations, Data Modeling, Data Validation

• Analytics & Modeling: Statistical Analysis, Forecasting, Regression, Random Forest, Gradient Boosting

• Tools: Excel (Pivot Tables, Power Query, VLOOKUP/XLOOKUP), Sigma, JIRA, Git

• Governance & Security: IAM Policies, Data Integrity Controls, Access Management

• Certifications: AWS Certified Solutions Architect, AWS AI Practitioner, Google Data Analytics EXPERIENCE

Business Analyst Virginia Department of Emergency Management (VDEM) (Sept.2025 – Present)

● Collect, clean, and validate data from multiple internal systems to support grant management analytics and executive reporting.

● Develop and maintain interactive Tableau and Excel dashboards tracking KPIs, budget utilization, and performance metrics.

● Perform data reconciliation between financial systems and reporting platforms, identifying discrepancies and improving reporting accuracy.

● Collaborate with cross-functional stakeholders to define reporting requirements, KPIs, and business metrics.

● Conduct statistical trend analysis and forecasting to support strategic planning and funding decisions.

● Document data definitions, workflows, and reporting logic to strengthen data governance practices.

● Automate reporting processes using SQL and Python, improving efficiency and reducing manual effort. Data Analyst Capgemini (Mar.2022 – Aug.2023)

● Collected, processed, and analyzed large structured datasets from finance and marketing systems to generate actionable insights.

● Built enterprise-grade Tableau and Power BI dashboards, reducing executive reporting time by 50%.

● Designed and optimized SQL queries across relational databases to support KPI tracking and ad-hoc analytics.

● Automated complex ETL pipelines using Python and SQL, improving data processing efficiency by 30%.

● Conducted trend analysis, correlation studies, anomaly detection, and forecasting models to support data-driven decisions.

● Validated data sources and reconciled inconsistencies across systems to ensure data accuracy and integrity.

● Partnered with business leaders to translate requirements into scalable data models and reporting solutions.

● Participated in data governance initiatives, standardizing reporting definitions and documentation. Data Analyst Amazon Web Services (Mar.2021 – Mar.2022)

● Designed and optimized cloud-based data warehousing solutions using AWS RDS, Redshift, and S3.

● Performed structured data analysis and query optimization, improving database performance and retrieval times.

● Developed automation scripts in Python and SQL to enhance ETL workflows and reporting pipelines.

● Ensured data security, access control, and compliance using IAM policies and governance best practices.

● Supported performance analysis initiatives using CloudWatch and RDS Performance Insights. PROJECTS

AWS RDS Minimal Downtime Upgrade Automation

• Built a Python-SQL automation framework leveraging AWS DMS and Read Replicas to reduce upgrade time by 80%.

• Integrated performance monitoring tools to analyze query bottlenecks and improve database optimization. Stock Market Predictive Analytics Model

• Performed EDA, statistical modeling, and forecasting using Python, Random Forest, and LSTM models.

• Built interactive visualizations to identify trends, correlations, and market patterns. Business Intelligence Dashboard for Travel Analytics

• Cleaned and prepared multi-year booking datasets using Excel and SQL for structured analysis.

• Designed KPI dashboards to analyze revenue trends, customer behavior, and performance opportunities.

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