Data Analyst with 3+ Years in Data QA and Verification

TANUJA SRIRAM

DATA ANALYST

****************@*****.*** +1-618-***-**** USA LinkedIn

PROFESSIONAL SUMMARY

Online Data Analyst-ready professional with over 3 years of experience in data analysis, data verification, and quality assurance across financial services and healthcare datasets. Skilled in online research, data accuracy validation, and consistent application of detailed guidelines and standards. Strong analytical and communication skills with a track record of working independently and meeting deadlines in remote and distributed environments. TECHNICAL SKILLS

Core Skills: Data analysis, research, quality assurance, data verification, remote work Languages: SQL, Python, R, Bash

Research Tools: Search engines, online maps, web research, geographic information sources, source validation Python Stack: Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Plotly Databases: MySQL, PostgreSQL, MS SQL Server, MongoDB, Hive, BigQuery, AWS Redshift BI & Viz: Microsoft Power BI, Tableau, dashboards, reporting QA Practices: Data validation, consistency checks, guideline-driven evaluation, accuracy audits Communication: Remote collaboration, written documentation, stakeholder reporting Tools: Excel, Jupyter Notebook, Jira, Git

PROFESSIONAL EXPERIENCE

Data Analyst, BNY Mellon Aug 2023 – Current

• Performed data verification and quality assurance across financial datasets at BNY Mellon, ensuring accuracy and consistency through validation checks and guideline-driven evaluation.

• Optimized complex SQL queries by 25% through indexing and query refactoring, accelerating retrieval and verification of large structured datasets across source systems.

• Established data governance frameworks ensuring compliance with data protection regulations, increasing data integrity through documented validation procedures.

• Conducted online research and source-system reconciliation to verify data accuracy, applying detailed guidelines to maintain consistency across reporting outputs.

• Collaborated remotely with cross-functional Data Science and Business Intelligence teams to define data requirements, enhancing project delivery timelines by 20%.

• Maintained detailed records of data verification activities and reporting outcomes, supporting audit-ready documentation for stakeholders.

• Implemented cost management strategies within AWS and Azure environments, optimizing resource allocation and reducing operational costs by an additional 15%.

• Initiated mentorship programs for junior analysts, fostering attention to detail, accuracy standards, and a culture of continuous learning.

Data Analyst, Genpact May 2021 – Jun 2022

• Processed and verified patient records from various databases and CSV files, achieving 99% data accuracy through detailed quality assurance and validation checks.

• Conducted descriptive analysis and verification of patient demographics and health conditions using Python

(Pandas, NumPy), revealing actionable insights and ensuring data reliability.

• Followed detailed guidelines and standards across data evaluation tasks, maintaining consistency and accuracy in healthcare analytical outputs.

• Developed interactive Tableau dashboards visualizing patient trends and verified hospital metrics, enhancing decision-making transparency by 35%.

• Automated data reporting and verification processes, reducing manual errors and increasing report generation speed by 50% across recurring deliverables.

• Collaborated remotely with cross-functional teams via communication channels to resolve data ambiguities and improve workflow consistency.

• Maintained detailed records of research and verification activities for reporting purposes, supporting ongoing quality assurance audits.

• Presented findings to stakeholders with clear written and verbal communication, providing data-driven insights for strategic planning.

Data Analyst, Wipro Jan 2019 – May 2021

• Designed and implemented scalable microservices using Spring Boot, REST APIs, and Hibernate ORM in an IT services environment, supporting verified data flows across enterprise platforms.

• Created and maintained SQL scripts for data integrity checks across Oracle and PostgreSQL databases, reducing data discrepancies and supporting accuracy verification.

• Deployed cloud-based solutions on AWS and Azure, optimizing resource utilization while ensuring data verification standards were maintained across environments.

• Conducted comprehensive data migration from legacy systems to cloud solutions, applying validation procedures to reduce downtime and improve data integrity.

• Utilized machine learning techniques for anomaly detection in transactional data, identifying inconsistencies and supporting data quality assurance.

• Automated infrastructure provisioning and deployment using Docker, Kubernetes, and Terraform, ensuring reproducible environments for verification workflows.

• Implemented CI/CD pipelines using AWS CodePipeline and Jenkins, streamlining deployment cycles while maintaining data validation standards.

• Collaborated with cross-functional teams remotely, demonstrating strong communication, attention to detail, and ability to work independently across global time zones. EDUCATION

Management Information System, Auburn University 08/2022 – 05/2024 Bachelor of Technology, Guru-Nanak Institutions 06/2018 – 05/2021 CERTIFICATIONS

• Microsoft Power BI Data Analyst

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