8+ years of experience in Data Analytics and Decision Science. Currently serving as a Business Intelligence Engineer at Amazon for the past 5 years - worked in Payment Risk Analytics, CS FP&A BI, Forecasting & Planning R…
8+ years of experience in Data Analytics and Decision Science. Currently serving as a Business Intelligence Engineer at Amazon for the past 5 years - worked in Payment Risk Analytics, CS FP&A BI, Forecasting & Planning Research teams. Previously worked as a Decision Scientist at Mu Sigma for over 3 years - engaged with Marketing and Supply Chain analytics teams of Fortune 500 firms in E-Commerce, Retail, and Software Industries. Enthusiastic about Data Science, Machine Learning, Business Management, Full Stack Web Development, and Automation
Applied machine learning methods to create forecasts for operational investigations, enhancing long-term and short-term capacity planning
Developed automated ETL pipelines using Amazon Redshift SQL and Python
Set up reporting infrastructure and self-service dashboards on Tableau and Amazon Quicksight for multiple Amazon teams
Collaborated with stakeholders such as Product/Program Managers and ML/Data Scientists to extract insights from data and address complex business challenges
Applied machine learning methods to create forecasts for operational investigations, enhancing long-term and short-term capacity planning
Developed automated ETL pipelines using Amazon Redshift SQL and Python
Set up reporting infrastructure and self-service dashboards on Tableau and Amazon Quicksight for multiple Amazon teams
Collaborated with stakeholders such as Product/Program Managers and ML/Data Scientists to extract insights from data and address complex business challenges
Provided analytics support to Fortune 500 clients in the Software and Retail industries
Constructed automated ELT (Extract Load Transform) frameworks for the Marketing Analytics team using Python and Hadoop Hive, leading to a substantial reduction in manual efforts for business teams
Played a pivotal role in simplifying data pipelines, minimizing data dependencies on downstream tables, and significantly reducing data processing time
Developed Executive and Funnel dashboards on Tableau for the Marketing Analytics team
Supported the establishment of a data lake and data mart for an Integrated Supply Chain team using Teradata SQL and SAS
Served as a Sales Ambassador for a year, initiating discussions with prospective customers and playing a crucial role in closing two deals
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