Vishal Dixit
PRINCTON
Summary
Seasoned Principal Data Scientist and AI Architect with over 17 years of experience in developing AI/ML and GenAI solutions for financial services. Specializes in LangGraph multi-agent architectures, MCP tool orchestration, and enterprise AI governance. Skilled in predictive analytics, fraud detection, NLP automation, and explainable AI within regulated banking environments.
Overview
17
17
years of professional experience
1
1
Certification
Work History
Principal Data Scientist / AI Architect
Capgemini
New York
01.2022 - Current
- Led development of enterprise GenAI and Agentic AI solutions, including IAM governance chatbots, multi-agent systems for credit card disputes, and AI platform architecture.
- Developed LangGraph based Agentic AI IAM Access Governance chatbot to compare AD groups and enterprise permissions at Barclays.
- Created multi-agent system for credit card dispute resolution, focusing on enrichment, classification, and explainable predictions.
- Citi – ServiceNow NLP automation using BERT similarity models.
- Morgan Stanley – SAS to Python / PySpark migration of enterprise analytics models.
- Citizens Bank – Delinquency prediction, VaR segmentation and SHAP explainability.
- Experience includes SAS to Python migrations, risk modeling and NLP automation.
- Key Projects
Data Specialist
NIIT Technologies
01.2018 - 01.2019
- Developed machine learning prediction platforms for booking forecasts and defect prediction.
- Maintained databases to ensure data integrity and accuracy across multiple systems, supporting reliable data access.
- Analyzed data sets to identify trends and patterns that informed project improvements.
- Collaborated with teams to create data-driven reports that enhanced client presentations.
Data Scientist
HCL Technologies
01.2017 - 01.2018
- Developed predictive models using machine learning techniques.
- Analyzed large datasets to identify trends and patterns.
- Analyzed NLP log data to enhance accuracy of system recommendations.
- Collaborated with cross-functional teams to enhance data strategies.
Analytics roles
Zones Inc / Airtel
01.2009 - 01.2017
- Developed pricing analytics and business intelligence dashboards for strategic decision-making.
- Proposed innovative strategies to improve team performance and achieve measurable outcomes.
- Executed daily operations with accuracy and efficiency to support business objectives.
- Collaborated with diverse colleagues to meet project goals and resolve product and service-related issues.
Education
Bachelor of Engineering - Electronics & Instrumentation
Skills
- Generative AI and LLMs
- Agentic AI architecture
- Natural language processing (NLP)
- Deep learning
- Predictive modeling strategies
- Fraud detection algorithms
- Risk modeling techniques
- MLOps
- Graph analytics
- Model monitoring
- Python and PySpark programming
- SQL database
- Cloud computing platforms (AWS, Azure)
- Data visualization techniques
- Business intelligence
- Project management skills
- Cross-functional collaboration
- Problem-solving abilities
- Critical thinking
- Effective communication skills
- Time series analysis methodologies
- Deep learning
Certification
Machine Learning & Generative AI Professional Certifications
Languages
English
Professional
Affiliations
Global AIML Trainer for Capgemini
Timeline
Principal Data Scientist / AI Architect
Capgemini
01.2022 - Current
Data Specialist
NIIT Technologies
01.2018 - 01.2019
Data Scientist
HCL Technologies
01.2017 - 01.2018
Analytics roles
Zones Inc / Airtel
01.2009 - 01.2017