Diksha Pandey
@dikshapandey
Data Operations Specialist leveraging 7+ years at Amazon to ensure data quality.
What I'm looking for
I’m a Data Operations Specialist with 7+ years of experience at Amazon, focused on high-volume data processing, validation, and quality assurance. I maintain exceptional accuracy across enterprise datasets while ensuring timely completion of operational workflows.
I prepare Excel-based reports and monitor operational KPIs to support workflow tracking, quality assurance, and performance reporting. I review data for inconsistencies, identify process gaps through root cause analysis, and implement corrective actions to improve operational accuracy and efficiency.
I also bring strong collaboration and inclusion to the work: I’ve guided and mentored associates (including visually impaired colleagues) to exceed performance benchmarks and adopt modernized reporting workflows. My contributions have been recognized with awards including the Prime Achiever Award and Spotlight Recognition Awards for data quality improvements and operational excellence.
Experience
Work history, roles, and key accomplishments
ML Data Associate (Data Ops)
Amazon Development Centre India Pvt. Ltd.
Aug 2018 - Present (7 years 11 months)
Managed high-volume data processing and validation to ensure dataset completeness, consistency, and accuracy across enterprise systems. Prepared Excel-based operational reports and monitored KPIs, while reviewing inconsistencies, implementing corrective actions, and mentoring associates.
Data Analytics Intern
MedTourEasy
Jul 2025 - Aug 2025 (1 month)
Conducted data validation on healthcare demographic datasets to ensure audit and reporting compliance. Applied analytical techniques to uncover correlations supporting structured insights for compliance readiness and diversity reporting.
Education
Degrees, certifications, and relevant coursework
SRM Institute of Science and Technology
B.Tech
2018 -
Grade: First class with distinction
In December 2018, earned a B.Tech at SRM Institute of Science and Technology (Deemed University), achieving first class with distinction.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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