Rajneesh Kumar
Data Science and Analytics Executive │ Proven Leader in Innovation & Operational Excellence │ Advanced Analytics, Machine Learning, & Growth Strategies
- Role
- Global Head, Risk Data Science, Machine Learning, and Analytics Payment Risk and Fraud at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Rajneesh Kumar
I am a highly accomplished Analytics and Data Science Executive with 20+ years of global leadership experience at Fortune 500 organizations such as Intuit, Amazon, Deutsche Bank, and UBS. Recognized for driving innovation and excellence in data-driven decision-making and operational efficiency, I specialize in building and scaling data functions from scratch, leveraging advanced analytics and machine learning to drive business growth. With extensive experience in Lean/Six Sigma methodologies, I integrate operational excellence with data and analytics leadership to achieve superior business outcomes. I lead, mentor, and empower large, global teams, supporting operations and data infrastructure across multiple countries. My expertise lies in translating complex data insights into actionable strategies, optimizing costs, enhancing customer experiences, and improving scalability.As a data science and analytics leader, I have driven revenue growth and strategic decisions in fintech and e-commerce. Currently, I lead global teams for QuickBooks Money, projecting significant incremental revenue through product enhancements. Previously, I led Amazon Payment Products\' global data science team, generating a $500M 3-year NPV impact.
Experience
Global Head, Risk Data Science, Machine Learning, and Analytics Payment Risk and Fraud
Dec 2024 — Present · Seattle, WA, US
Leading a global team comprising multiple functions—data science, applied science, machine learning, risk analytics, and operational excellence across multiple global locations (~50 data professionals)—helping to minimize the payment fraud related to various payment methods at the Amazon platform globally.• Prevented scaled fraud by deploying a multi-stage cluster-level anomaly detection model• Implemented an agentic workflow to significantly reduce the human efforts in fraud detection
Education
XLRI Jamshedpur
Master of Business Administration (M.B.A.), General Management with specialization in Operations & Finance
2007 — 2008
University of Washington
9 month in person classroom based Machine Learning Program, Machine Learning
Amazon Machine Learning University (MLU)
Data Science
RMIT University
EMP, International Business
Indian Institute of Technology, Roorkee
Bachelor of Science - BS
Indian Statistical Institute (SQC & OR)
Master Black Belt, Lean, Six Sigma
Skills
- Six Sigma
- Business Process Improvement
- Lean Manufacturing
- Business Process
- Process Improvement
- Business Transformation
- Change Management
- Operational Excellence
- Management
- Business Process Re-Engineering
- Project Management
- Business Analysis
- Sdlc
- Leadership
- Business Intelligence
- Operations Management
- Bpo
- Risk Management
- Business Process Excellence
- Business Process Outsourcing (Bpo)
- Agile Project Management
- Training & Development
- Analytics
- Statistical Data Analysis
- Large-Scale Data Analysis
- Multivariate Analysis
- Design of Experiments
- Regression Analysis
- General Linear Models
- Survey Design
- Survey Data Analysis
- Principal Component Analysis
- Item Analysis
- Sql
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