Vikas Agrawal

About Vikas Agrawal

Pathfinding, Research, Development, Deployment, Monitoring and Continuous Improvement of AI/ML apps for Finance, Human Capital Management, Supply Chain and Customer Experience, from foundational statistical modeling to production-grade ML systems for thousands of global customers.2. Mentored high-performing local, distributed and matrixed teams responsible for delivering innovative AI solutions that created significant value, from ideation and prototyping to deployment, monitoring, and continuous improvement of models in a production cloud environment.3. Collaborated with executive leadership, product management, and UX teams to translate complex business needs into technical specifications and secured alignment for high-impact AI initiatives.Current R&D Interests:1. Multi-Agent Systems, Compositional Agentic Systems for End to End Problem Solving in the Enterprise Assisted by LLMs for Shallow Planning, Verification and User Communication, Coupled with Retrieval Augmented Generation. Activity context-aware virtual personal assistants with N=1 personalization for HR, Finance/Banking, Supply Chain, Retail with risk and fraud detection2. Data-driven multi-level hierarchies of ML and statistical models combined with knowledge driven models informed by deep learning based sensors at the leaf nodes (vision, natural language, speech, vibration, RDL for relational data) for anomaly detection and searching shortest-paths-to-reducing-risks for scientific analysis of HCM, CRM, ERP, MFG, SCM and IoT systems. Post-hoc explanations of predictive classifications from black-box models.I credit my continued learning and sharing journey to the smart creative colleagues at Intel Corporation, Infosys Limited, Oracle Corporation, and mentors at CalTech, UD and IIT Delhi where we researched and developed novel IP, products and solutions to amplify humans.

Experience

1. Director of Data Science in Ai and Applied Science for Oracle Analytics

   Oracle

   Jan 2015 — Present · Hyderābād, IN

   Defining use cases, features, scope, datasets, algorithms for AI applications (80% ML, 20% Stats) deployed for automated discovery for Fusion and NetSuite Analytics Warehouse customers with cross function insights in HCM (Workforce, Compensation/Payroll, Talent/Skills, Performance), ERP (Finance), Supply Chain (Manufacturing, Procurement), and Customer Experience (CX) for to optimise and scale across thousands of customers on Oracle Cloud Infrastructure2. Research, Pathfinding, Development and Deployment with multiple impactful teams and matrixed projects, for data science 3. At-scale testing and deployment of Cash Flow Prediction, Procurement Assistant, Product Recommendation, Accounts Receivable, Accounts Payable, Churn Prediction, Demand Prediction, Inventory Optimization, Opportunity and Lead Scoring, Skills as Currency, Candidate to Job Matching, Finding Successors, Diversity and Affirmative Action Analysis, EEO/OFCCP Adverse Impact, Pay Equity by for Gender and Race/Ethnicity, Employee Expenses Anomalies, Manager and Employee Agreement in Aspects of Performance Ratings, Payments Fraud.4. Multi-Agent Systems, Compositional Agentic Systems for End to End Problem Solving in the Enterprise Assisted by LLMs for Shallow Planning, Verification and User Communication, Coupled with Retrieval Augmented Generation.5. Automated presentation of the most statistically significant KPIs, along dimensions with maximal information content change in Finance, ERP and HCM6. Presenting visualizations with maximal information content (entropy maximization) with natural language search and query on visualizations/models using domain specific virtual personal assistants that understand business synonyms, analytical synonyms and abbreviations.January 2015-July 2025 Roles of Consulting Member of Technical Staff, Senior Principal Data Scientist in Data Science Labs, Fusion Analytics Warehouse, Oracle Analytics Applications and Executive Focus

Education

• Caltech

  Postdoctoral Research Fellowship, Computational Systems Biology

  2004 — 2005

• Saint Aloysius' High School, Kanpur, India

  Indian Certificate of Secondary Education (ICSE), Physics, Chemistry, Mathematics, Biology, English, Economics

  1987 — 1991

• Saint Mary's Senior Secondary School, Bijnor, India

  Primary School, Motto: Wisdom, Devotion, Service

  1979 — 1980

• All Saints Convent School, Uttarakhand, India

  Middle School, Motto: Wisdom to Serve

  1984 — 1987

• University of Delaware

  Doctor of Philosophy (Ph.D.), Computational Biology

  2000 — 2004

• Sophia Senior Secondary School, Saharanpur, India

  Primary School, Motto: Seek Ye Wisdom

  1980 — 1984

• Indian Institute of Technology, Delhi

  Bachelor’s Degree, Electrical Engineering

  1993 — 1997

• National University of Singapore

  Graduate Research Program for Doctoral Degree; Motto: Towards a Global Knowledge Enterprise, Computer Science

  2001 — 2001

• University of Delaware

  Master’s Degree, Computer and Information Sciences

  1997 — 2000

• Methodist High School, Kanpur, India

  Indian School Certificate (ISC), Physics, Chemistry, Mathematics, English

  1991 — 1993

Skills

• Predictive Analytics
• Perl
• Semiconductors
• R
• Minitab
• Ontology
• Context
• Activity Context Representation
• Spss
• Software Engineering
• C++
• Machine Learning
• Human Computer Interfaces
• Computational Biology
• Virtual Personal Assistants
• Sas
• Artificial Intelligence
• Internet of Things
• Semantic Web
• High Performance Computing
• Dynamic Mathematical Modeling
• Big Data
• Analytics
• Bioinformatics
• Mathematical Modeling
• Statistical Modeling
• C
• Programming
• Optimization
• Data Analysis
• Industrial Internet
• Intelligent Natural User Interfaces
• Natural Language Processing
• Intelligent Speech-Enabled Systems
• Matlab
• Jmp
• Deep Neural Networks
• Simulations
• Information Retrieval
• Mathematica