Sandeep Upadhyay
@sandeepupadhyay1
Data Analyst with 5+ years building dashboards, experiments, and ROI insights.
What I'm looking for
I’m a data analyst with 5+ years of experience focused on turning complex data into clear dashboards, reports, and decision-ready insights. I specialize in improving business metrics by combining strong data analysis with operational excellence and stakeholder alignment.
At Google Operations Center, I ran A/B testing to drive outcomes like a 32% higher exclusive reach and $2.7M in media savings (~6% of the yearly budget) for the SEA region in 2024. I also automated 20+ daily reporting workflows using SQL, Advanced Excel, Looker, and VBA, helping cross-functional teams and senior management make faster, data-driven decisions.
I built customized ad hoc template reports to analyze the impact of marketing changes across customer acquisition, behavior, and retention. I collaborated with PAMs to create a concise QBR version used widely in the process, saving 16 FTE efforts yearly, and I maintained a 97% CSAT for 2024 while earning the Individual Contributor award in 2023.
Previously, as a Technical Consultant (Data), I led the Audio Quality Analyst team (8 members) and improved ticket closure within TRT by 9%. I partnered with software engineers to train ML bots for conversational insights (supervised learning, 83% accuracy), reduced setup incoming issues by 32% through a Spam Detection BRD, cut bug counts by 18% via pre/post migration analysis, and documented BRDs for broader audiences.
Experience
Work history, roles, and key accomplishments
Data Analyst
Google Operations Center
Oct 2022 - Present (3 years 8 months)
Conducted A/B tests achieving 32% higher exclusive reach and delivered $2.7M (~6% of SEA 2024 budget) in media savings. Automated 20+ daily reports using SQL, Advanced Excel, Looker, and VBA, helped standardize QBR to save 16 FTE/year, and maintained 97% CSAT in 2024.
Technical Consultant (Data)
Jan 2020 - Sep 2022 (2 years 8 months)
Led an Audio Quality Analyst team of 8 members and increased ticket closure within TRT by 9%. Partnered with engineers on supervised ML for Conversational Insights (accuracy to 83%), authored BRDs for spam detection that reduced setup incoming issues by 32%, and performed pre/post migration analysis to reduce bug counts by 18%.
Education
Degrees, certifications, and relevant coursework
MIET, Meerut
Bachelor of Technology
Completed a Bachelor of Technology at MIET, Meerut.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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