Amazon

Business Intelligence Engineer II

Business Intelligence Engineer

Business Analyst

Mieone Technologies

Supply Chain Consultant

Union Public Service Commission( UPSC )

•	Prepared for prestigious UPSC exam to enter Indian Administrative Services (IAS); cleared prelims twice.
•	Took an active interest in teaching Mathematics and Science to students from economically weak backgrounds through Youth for Seva, an organization dedicated to improving the quality of education in Government high schools across Bengaluru.

IAS Aspirant & Social Worker (Hiatus)

Intel Corporation

•	Key team player in enterprise IT-SCM CoE, supporting enterprise change management initiatives to modernize the Sales and Operations Planning (S&OP) process supporting estimated business revenue $60B/year (2017)
•	Liaised with S&OP business end-users (supply chain planning, internal business consulting) and software/product development teams across geographies to improve reporting capabilities and automate repetitive processes 
•	Managed aspects of business process mapping, functional specification translation, UI wireframing, testing, and end-user training for an SAP-HANA powered platform. This tool was built for input planning data validation, attach-rate analysis, and demand-supply scenario analysis.
•	Implemented SAP systems configurations (SAP SCM and ECC modules) for supply planning analysis
•	Helped harmonize data from 5+ data sources and defined rules for data cleaning, data transformation, and data validation.
•	Worked to provide supply planning analytics dashboard to bridge the gap between supply planning and demand planning
•	Worked with scrum masters in implementing solutions through an AGILE-first methodology using Rally tool.

Solutions Analyst

Intern

Bharat Heavy Electricals Limited

Earnest and results-oriented professional with 2 years experience in enterprise supply chain IT transformation projects, focusing on project management and continuous improvement. 

Areas of interest
1) supply chain and operations analytics
2) data analytics and data engineering

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