Sunkara Anirudh

About Sunkara Anirudh

I’m a data & business analyst with 4+ years of experience delivering insights and solutions across finance, marketing, retail, and healthcare. I specialize in using data to solve real business problems — from reducing churn and optimizing pricing, to forecasting revenue, improving operations, and enhancing product decisions. I bring hands-on experience with data platforms and tools including SQL, Python, R, SPSS, and Excel for data transformation, statistical analysis, and advanced analytics. Power BI, Tableau, and SSRS to build real-time dashboards and automated reporting solutions that drive actionable insights. On the data engineering side, I’ve maintained and integrated data across databases like Azure Data Lake, Snowflake, MongoDB, and Oracle, using ETL techniques and designed scalable pipelines with SSIS, Databricks, and Informatica. I’ve worked extensively with Collibra, Azure Data Catalog, and Informatica Axon, EDC, and DQ to manage metadata, establish end-to-end data lineage, and implement strong data governance frameworks—ensuring data consistency, integrity, and traceability across platforms and pipelines I’ve collaborated with cross-functional teams on translating technical requirements into analytical enabling self-service BI and ensuring data quality and compliance (KYC/AML, HIPAA). I’m well-versed in Agile, Scrum, Waterfall, and tools like Jira, SharePoint, MS Access, Word, PowerPoint. From a business analyst perspective, I’m skilled in requirement gathering, stakeholder communication, process mapping, A/B testing, UAT testing, user training, project tracking, and aligning data work to business goals. I enjoy partnering closely with business users, engineers, and leadership to translate insights into action and business growth. On the ML and advanced analytics side, I’ve built and supported predictive models (regression, classification, decision trees) using Scikit-learn, pandas, NumPy, and conducted visualizations using Seaborn, Plotly, Matplotlib, and ggplot2. What drives me most is connecting data to decisions — simplifying complexity, solving root problems, and helping teams move forward with clarity. Reach out to me on s••••••••@gmail.com to discuss how I can help you with transforming your data into actionable insights.

Experience

1. Business Data Analyst Ahold Delhaize Usa

   IBM

   Jul 2024 — Present · Salisbury, NC, US

   As a part of BIDM team in AHOLD DELHAIZE USA, spearheaded data analytics for a high-impact data migration project while analyzing transaction data for improving Business strategies across for top brands like Food Lion, Giant Food, Hannaford, and Stop & Shop. Implemented data processing pipelines using Python, SQL and Data Bricks ensuring accurate and consistent flow of transaction data through NCR Cloud, Jenkins, Kafka, Mulesoft API’s, IBM MQ and finally to Azure Blob Storage for further analysis. Conducted in-depth data extraction, transformation, and cleaning, ensuring high data quality and integrity for business reporting. Developed interactive Power BI dashboards, providing real-time insights into transaction metrics, customer trends, and operational performance across the organization. Automated data structure validation using Python scripts in Azure Databricks, reducing manual data verification efforts by 30% to identify mismatches in data. Led root cause analysis (RCA) and defect tracking in JIRA to enhance data governance and quality assurance. Participated in sprint planning and daily standup calls within IBM’s and clients all over USA / IBM US coordinators, following Agile methodologies. Improved data accuracy by 25% through governance practices in collaboration with finance, POS, and tech teams.

Education

• University of New Haven

  Master of Science - MS

  2023 — 2024

• PVPSIT

  Bachelor's degree

  2015 — 2019