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Seniot Data Engineer
Visa•  July 2019 - September 2021
Global Revenue Analytics – Analyzing 50+ dimensional data for revenue leaks and dimension level classification. – Coordinated requirement gathering, design and development of analytics and reporting projects involving 10+ petabytes of data. – Devised and deployed a K Means clustering model with PCA to cluster similar performing clients and identify under-reporting banks, helping business to recover $8.5M in revenue for the latest quarter and a projected $40M for the past quarters. – Developed and productionized 4 data cube models and 10+ KPI dashboards for the executive team with a monthly SLA of 24 Hours. – Pioneered the dataflow from 8+ source systems across different network zones using Spark, DSeries, AtScale and Tableau, achieving a response time of < 5 Secs for 95% of the queries from 3000+ business users. – Designed and executed product revenue forecasting model using SARIMA with 97% accuracy across product offerings. – Orchestrated multiple project releases through cross-team (platform, security, operations) collaboration with 0 rollbacks.
Education
RVCE, Bangalore (RV College Of Engineering)
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