Renuka Yeruva
Woodstock,GA
Summary
- Data Analyst with 2.5+ years of experience in data analysis, SQL development, ETL processes, data validation, business intelligence, and enterprise reporting.
- Strong experience with SQL, T-SQL, PL/SQL, Python, Pandas, Power BI, Tableau, SSIS, Azure Data Factory, and Advanced Excel for data analysis and reporting.
- Hands-on experience developing interactive Power BI and Tableau dashboards, KPI reports, ad-hoc reports, and automated reporting solutions to support data-driven decision-making.
- Experienced in ETL development and testing, source-to-target validation, data transformation, reconciliation, root cause analysis, and data-quality management.
- Knowledge of healthcare data standards and technologies including HL7, FHIR, C-CDA, ANSI X12, Epic Tapestry, Epic Bridges, EMR, and HIE.
- Strong understanding of requirements gathering, UAT, SDLC, Jira, process documentation, and cross-functional collaboration with business and technical stakeholders.
Overview
4
4
years of professional experience
Work History
Data Analyst
Fiserv
Alpharetta, Georgia
12.2025 - Current
- Analyze large and complex datasets using SQL, Python, and Excel to identify trends, anomalies, data-quality issues, and actionable business insights.
- Develop and optimize complex SQL queries using joins, CTEs, subqueries, aggregations, and stored procedures, improving data retrieval and reporting performance by 25%.
- Design and maintain Power BI dashboards and KPI reports to provide stakeholders with visibility into operational and business performance.
- Perform source-to-target data validation and reconciliation across multiple datasets to identify missing records, duplicates, transformation issues, and data inconsistencies.
- Support ETL workflows by validating extraction and transformation logic and ensuring completeness and accuracy of loaded data.
- Automate recurring reporting and data-analysis processes using SQL, Python, and Excel, reducing manual reporting effort by 30%.
- Investigate reporting discrepancies through root cause analysis and collaborate with development and business teams to resolve data-quality issues.
- Gather business requirements and translate stakeholder needs into SQL queries, dashboards, KPI reports, and analytical solutions.
- Maintain documentation for data flows, reporting processes, validation rules, and data mappings while supporting data integrity and data governance standards across analytical workflows.
Data Analyst
Frontier Communications of Texas
Dallas, Texas
04.2025 - 12.2025
- Analyzed operational and business datasets using SQL, Python, Excel, and BI tools to identify trends, patterns, and opportunities for process improvement.
- Developed and optimized SQL queries for data extraction, transformation, reconciliation, and reporting, improving query performance by 20%.
- Created interactive Power BI dashboards with KPIs, calculated measures, filters, and drill-down functionality for business stakeholders.
- Performed data cleaning, validation, and reconciliation to maintain accurate and reliable analytical datasets.
- Conducted ETL testing and source-to-target validation, verifying transformation rules, record counts, data mappings, and business logic.
- Investigated data discrepancies using root cause analysis and worked with technical teams to resolve data-quality and reporting issues.
- Automated recurring reports and data-preparation activities, reducing manual reporting effort by approximately 25%.
- Supported UAT activities by preparing test scenarios, validating results, documenting defects, and coordinating issue resolution with cross-functional teams.
Junior Data Analyst
Infosys Technologies
Pune, Maharashtra
05.2022 - 06.2023
- Supported data analysis, reporting, and data-quality activities using SQL, Excel, and relational database technologies.
- Developed SQL queries using joins, subqueries, aggregations, and filtering techniques to retrieve and analyze business data.
- Assisted with ETL testing and source-to-target validation to identify missing records, duplicate values, transformation errors, and data mismatches.
- Performed data cleaning and reconciliation to improve the consistency and reliability of datasets used for business reporting.
- Created routine and ad-hoc reports using SQL and Excel, developing reusable templates that reduced recurring report preparation time by 20%.
- Assisted senior analysts with trend analysis, data validation, and investigation of reporting discrepancies.
- Executed structured test cases and documented defects during data integration and reporting enhancements.
- Participated in requirements gathering, workflow documentation, data mapping, and production issue troubleshooting with cross-functional teams.
Education
Master of Science - Computer Science
Kennesaw State University
Kennesaw, GABachelor of Technology - Computer Science
Narasaraopeta Engineering College
Narasaraopet, Andhra Pradesh, IndiaSkills
- SQL, T-SQL, PL/SQL, SQL Server, Oracle, Stored Procedures, CTEs, Joins, Subqueries, Query Optimization
- Power BI, Tableau, SSRS, SSAS, Dashboard Development, KPI Dashboards, Executive Reporting, Ad-Hoc Reporting, Reporting Automation
- SSIS, Azure Data Factory, ETL Development, ETL Testing, Data Transformation, Data Mapping, Data Migration, Data Normalization, Source-to-Target Validation
- Python, Pandas, Advanced Excel, Pivot Tables, VLOOKUP, XLOOKUP, Advanced Formulas, VBA
- Data Cleaning, Data Validation, Data Reconciliation, Exploratory Data Analysis, Trend Analysis, Variance Analysis, Root Cause Analysis, KPI Tracking, Data Integrity, Data Governance
- HL7, FHIR, C-CDA, ANSI X12, Epic Tapestry, Epic Bridges, EMR, HIE, Clinical Data Analysis, Population Health Analytics
- Requirements Gathering, UAT, Jira, SDLC, Agile, Process Documentation, Workflow Analysis, Stakeholder Communication
Academic Projects
Data Analytics Suite for Type 2 Diabetes (May 2024 – July 2024)
- Developed a healthcare data analytics framework to analyze Type 2 Diabetes patient biomarkers, treatment responses, and clinical outcomes.
- Applied exploratory and predictive data analysis techniques to identify correlations between patient biomarkers and diabetes outcomes.
- Developed visual and predictive analytics to transform complex patient data into actionable insights for clinical decision-making.
- Leveraged cloud, big data, and AI concepts to support scalable healthcare data analysis and personalized treatment strategies.
Kidney Disease Prediction System (November 2021 – April 2022)
- Developed a healthcare prediction application using Python and machine learning to classify patients based on kidney disease risk.
- Analyzed clinical attributes including Hemoglobin, Blood Pressure, Albumin, Sugar Level, and Age to identify important disease indicators.
- Implemented Naïve Bayes and Random Forest algorithms to perform predictive classification on patient health data.
- Built a Flask-based backend to process patient information and generate real-time prediction results through a user-friendly web interface.
Few-Shot Learning for Enhanced Brain Tumor Segmentation (Jan 2024 – Apr 2024)
- Developed a modified RU-Net deep learning model for segmentation of brain tumor sub-regions using medical imaging data from the BraTS dataset.
- Analyzed annotated 3D MRI scans to train and evaluate the model for accurate identification of tumor regions.
- Implemented a teacher-student learning framework to address limited labeled healthcare data while improving segmentation performance.
- Applied deep learning and medical imaging concepts to a healthcare use case supporting oncology analysis and surgical planning.
Awards & Achievements
- Gold Medalist & College Topper during Bachelor’s Degree, recognized for exceptional academic performance.
- Solved 600+ coding problems across HackerRank and Codemind, demonstrating strong problem-solving and data structures & algorithms skills.
- Secured Second Prize in the Trihuddle Competition during Bachelor’s Degree.
Certifications
- MongoDB Aggregation Framework Certification – MongoDB
- The Joy of Computing with Python – NPTEL, Silver Certificate
- Programming for Everybody (Getting Started with Python) – University of Michigan, Coursera
- Introduction to MongoDB Charts – MongoDB
Timeline
Data Analyst
Fiserv
12.2025 - Current
Data Analyst
Frontier Communications of Texas
04.2025 - 12.2025
Junior Data Analyst
Infosys Technologies
05.2022 - 06.2023
Master of Science - Computer Science
Kennesaw State University
Bachelor of Technology - Computer Science
Narasaraopeta Engineering College