Rajat Kumar
Singapore
Summary
- AI & Data Leader with 11+ years of experience building and scaling Data Science, Machine Learning, and Generative AI platforms across enterprise environments.
Currently leading AI transformation at Dyson, driving LLM-based applications,
agentic architectures, and data-driven decision systems. Proven track record
of building teams from scratch, delivering multi-million dollar impact, and deploying AI solutions across government, aviation, and manufacturing sectors.
Expertise in Deep Learning. GenAI (LLMs, RAG, Agents), MLOps, Predictive Analytics, and end-to-end AI platform architecture.
Overview
13
13
years of professional experience
Work History
Senior Manager/Principal Data Scientist -AI Leader
Dyson
Singapore
05.2024 - Current
- Leading AI & Data Science capability at Dyson, driving enterprise-wide GenAI and data transformation initiatives
- Defining LLM/GenAI strategy, including use cases across analytics, automation, and decision intelligence
- Building AI platform architecture including:
LLM integration (OpenAI, Gemini)
Agent orchestration frameworks
Vector databases & embeddings - Evaluating and onboarding AI tooling ecosystem (LLMs, MLOps, observability, prompt management)
- Partnering with business and engineering leaders to productionize AI solutions at scale
Sr. Manager/Sr. Principal Data Scientist
ST Engineering
Singapore
08.2021 - 05.2024
- Built and scaled a Data Science & AI team from scratch (0 → 10+), establishing core AI capabilities
- Delivered end-to-end predictive maintenance platforms using:
Deep Learning (LSTM, Autoencoders)
Machine Learning (XGBoost, Random Forest, clustering) - Deployed AI solutions across:
Government: HTX, Singapore Navy, Police Coast Guard
Aviation: Japan Airlines, AirAsia - Generated significant business impact through downtime reduction and predictive insights
- Established MLOps, explainability (XAI), and scalable AI pipelines
- Led client-facing engagements, contributing to business development and AI adoption
- Represented organization at international AI conferences and industry forums
Lead-Data Analyst/Scientist
Ubisoft
Singapore
01.2021 - 08.2021
- Designed data tracking systems and analytics architecture for a new GaaS (Game-as-a-Service) product
- Developed player analytics and user research dashboards
- Applied clustering and association mining to improve player engagement and retention
Expert Data Scientist (Lead)
Singapore
01.2021 - 08.2021
- Led transformation of traditional manufacturing into data-driven AI-enabled operations
- Developed anomaly detection and predictive models for quality and reliability improvement
- Delivered $1M+ cost savings, recognized with “Leading the Way” award
- Produced 9 IPs (trade secrets) and 1 international patent (WIPO: WO2021225593)
- Published multiple papers in internal and external journals (IEEE, DSKD)
- Mentored teams and drove adoption of AI across business functions
- Invited speaker at the International Data Science conferences (AI&BIG-DATA, CIO)
Programmer Analyst (Business Intelligence & Data Analysis)
Cognizant
India
06.2014 - 11.2015
- Worked on ETL, data engineering, and analytics for insurance domain
- Tools: Informatica, Teradata, Oracle, DB2
- Built models for early identification of premium defaultersRequirement Gathering, Data Engineering, Data Analysis, and ETL. Tools: Informatica, DB: Teradata, Oracle, DB2, Sybase.
- Trend Analysis & early identification of insurance premium defaulters.
Data Science Intern
India Meteorological Department
Chennai
01.2013 - 01.2014
- Developed model to predict onset of southwest monsoon in India
- Published IEEE paper using regression and statistical methods
Education
Master of Technology - Knowledge Engineering (AI - Data Science)
National University of Singapore
SingaporePost Graduate Program - AI & Machine Learning
California Institute of Technology - CTME
Bachelor of Technology - Information Technology
Sathyabama University
IndiaSkills
- Python
- AI & AI strategy
- Generative AI (LLMs, RAG, Agents, Prompt Engineering)
- Deep Learning, Predictive Modeling, Anomaly Detection
- Time Series & Predictive Maintenance
- LLM - Large language models
- Model deployment
- Data-driven decision making
- Client engagement
- Team leadership
- Deep Learning
- SQL
- R
- JMP/SPSS/Weka
- Tableau/PowerBI
- MS Office
- JIRA
- Confluence
- Big Data
- Bitbucket
- GCP/AWS/Azure
- Informatica/Pentaho (ETL)
- Supervised Machine Learning
- Unsupervised Machine Learning
- Anomaly Detection
- Cross-functional team leadership
Career conversation(GenAI)
https://huggingface.co/spaces/rajatkumarchess/career_conversation
Personal Information
Nationality: India, Singapore-PR
Publications
- Prediction of Onset of South West Monsoon using Multiple Regression, IEEE (Institute of Electrical and Electronics Engineers), Best paper award winner
- A series of earth resource satellites and its potentiality, IJoART (International Journal of Advancements in Research & Technology v3, Issue 4)
- Virtual Reliability Testing (Prediction) of Printers, HP Journal: DSKD 2018
- Early Quality Detection (Prediction), HP Journal: DSKD 2018
- Generalized Anomaly detection based on Auto-Encoder, HP Journal: DSKD 2018
Accomplishments
International Patent (WIPO: WO2021225593)
Hobbies and Interests
- Chess
- AI and Data conferences
- Traveling
Timeline
Senior Manager/Principal Data Scientist -AI Leader
Dyson
05.2024 - Current
Sr. Manager/Sr. Principal Data Scientist
ST Engineering
08.2021 - 05.2024
Lead-Data Analyst/Scientist
Ubisoft
01.2021 - 08.2021
Expert Data Scientist (Lead)
01.2021 - 08.2021
Programmer Analyst (Business Intelligence & Data Analysis)
Cognizant
06.2014 - 11.2015
Data Science Intern
India Meteorological Department
01.2013 - 01.2014
Master of Technology - Knowledge Engineering (AI - Data Science)
National University of Singapore
Post Graduate Program - AI & Machine Learning
California Institute of Technology - CTME
Bachelor of Technology - Information Technology
Sathyabama University