Data Analyst Quality

SAI SREE KONERU

*******.******@*****.*** +1-630-***-**** Chicago, IL

PROFESSIONAL SUMMARY

Data Analyst with 3+ years of experience specializing in database solutions, data integration, and reporting for technology-driven environments. Skilled in PL/SQL development, optimizing queries and stored procedures on Oracle Exadata and Oracle 10g. Proficient in creating and automating ETL pipelines, data validation routines, and data transformation logic to support accurate analysis and reporting. Adept with Microsoft Office Suite for data analysis, reporting, and presentations. Experienced in designing test scenarios, implementing automated reconciliation routines, and ensuring high standards of data quality. Strong background in Agile (Scrum) project environments, contributing to requirements definition, effort estimation, and prioritization of work. Recognized for analytical thinking, attention to detail, and the ability to communicate complex data insights to both technical and business stakeholders.

TECHNICAL SKILLS

Databases: Oracle Exadata, Oracle 10g, PL/SQL, Stored Procedures, SQL Query Tools

Data Analysis & Reporting: Microsoft Excel, Microsoft PowerPoint, Microsoft Office Suite, Data Visualization Tools

Testing & Quality Assurance: Test Scenario Design, Automated Reconciliation Routines, Data Quality Validation

Data Integration & Pipelines: ETL Automation, Data Validation Routines, Data Cleansing Tools, Data Transformation Logic

Agile & Project Management Tools: Agile (Scrum), Effort Estimation Tools

Programming Languages & Scripting: Python, SQL, Python (Pandas)

WORK EXPERIENCE

Tavus, Data Analyst Feb 2024 - Present

●Developed and maintained structured datasets by extracting, cleansing, and transforming multimodal data using Python, PL/SQL, and Oracle 10g to support real-time AI human simulation models.

●Built automated data pipelines for ingesting and validating large volumes of text, audio, and video, applying PL/SQL queries and stored procedures to ensure consistency and reliability.

●Designed labeling workflows with active learning and heuristics to improve dataset quality, applying SQL and Python scripting for scalable annotation and data preparation.

●Created validation routines to detect data drift, duplicates, and sensitive information in Oracle databases, maintaining compliance with internal AI-readiness standards.

●Tested new data solutions and transformation logic, documenting processes in Microsoft Office and sharing findings with technical and non-technical teams for rapid model iteration.

●Improved data flows by tuning SQL queries and optimizing storage formats on Oracle Exadata, ensuring efficient access and minimal resource usage during model training cycles.

●Contributed to Agile sprint planning by estimating effort required for data tasks, clarifying requirements, and supporting prioritization in cross-functional meetings.

●Provided technical guidance to peers by reviewing PL/SQL code, suggesting improvements, and sharing best practices for data pipeline maintainability and scalability.

●Utilized Microsoft Excel and PowerPoint to summarize data insights, trends, and quality metrics, presenting results clearly to both research and product teams.

●Kept up with advancements in data engineering and AI tooling, rapidly applying new techniques to improve the speed and accuracy of Tavus’s human computing data workflows.

Rarible, Data Engineer Jan 2021 - May 2023

●Developed PL/SQL scripts and stored procedures in Oracle 10g to aggregate and analyze on-chain and off-chain transaction data, supporting platform risk monitoring and financial reporting.

●Created and executed comprehensive test scenarios for new data integration solutions, validating blockchain client onboarding workflows and ensuring robust, well-tested interfaces across Rarible applications.

●Utilized Microsoft Excel and PowerPoint to organize, visualize, and present NFT marketplace performance trends, delivering insights to product and compliance teams for strategic planning.

●Built complex queries in Oracle Exadata to extract wallet KYC data, identifying discrepancies and supporting client due diligence processes as part of onboarding best practices.

●Participated in Agile sprint ceremonies, refining data requirements, estimating effort for analytics features, and prioritizing data initiatives to align with evolving marketplace needs.

●Developed proof-of-concept data models to evaluate innovative approaches in NFT credit product analytics, mitigating implementation risks and informing data-driven decision making.

●Collaborated with product managers and engineers to map end-to-end data flows, ensuring seamless integration between smart contracts, backend systems, and compliance reporting tools.

●Improved data quality by implementing validation checks and automated reconciliation routines in Oracle databases, reducing manual review time for onboarding and credit assignment processes.

●Presented technical findings to both engineering and business audiences, translating detailed query logic into executive-level summaries for cross-functional stakeholders.

●Managed multiple analytics projects simultaneously, identifying priority tasks and balancing resource assignments to support rapid development cycles in a fast-paced Web3 environment.

EDUCATION

Masters in Data Science – Cognitive and Prescriptive Analytics

LEWIS UNIVERSITY, Romeoville, IL 3.85/4.0

CERTIFICATIONS

IBM – Data Scientist Professional Certification

Microsoft Fabric - Data Engineer Associate certification

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