sridevi anandan
@sridevianandan
I improve data quality and operational reporting through SQL, Python, dashboards, and ETL pipelines.
United StatesWhat I'm looking for
At Ford Motor Company, I analyze and validate automotive data using SQL, Python, Power BI, Qlik, and Excel, resolving discrepancies and improving reporting reliability for operational stakeholders.
I've also built consumer analytics workflows at Beats by Dre, including segmentation, demand forecasting, sentiment analysis, and KPI dashboards that reduced report generation time by 60%. At Areteans, I worked with Python, Apache Spark, Hadoop, SQL, and NoSQL systems to optimize queries by 50% and develop validation tooling adopted by three internal teams.
I bring hands-on experience building scalable ETL and real-time data pipelines on AWS, with a focus on data governance, validation, analytical reporting, and dependable downstream datasets.
Experience
Work history, roles, and key accomplishments
Performs data-quality analysis and validation for Ford automotive datasets, identifying missing, inconsistent, duplicate, and inaccurate records. Develops Power BI and Qlik dashboards for operational reporting and KPI monitoring.
Education
Degrees, certifications, and relevant coursework
Lawrence Technological University
Master of Science, Information Technology / Business Analytics
2023 - 2025
Grade: 3.9/4.0
Pursued a Master of Science in Information Technology with a focus on Business Analytics, achieving a GPA of 3.9/4.0.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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