About
By day, I work on large-scale AI/ML (think: finding the right audience, the right offer, at the right moment). Along the way I’ve also tackled promotion analytics in retail and ML-powered data observability—because when data breaks, everything breaks.
I’m a hands-on builder, biased toward practical experiments over fancy buzzwords. When I’m not building, I’m learning (courses, Kaggle-style problem solving) and mentoring founders/operators—volunteering with SCORE, ADPList, and Forbes.
If you like crisp, applied AI ideas (and the occasional spicy take), let’s stay in touch.
Professional Experience
A timeline of leadership in AI, Data Science, and Enterprise ML.
Apr 2023 – Present
Remote / HQ
Director – Advanced Data Science
Marriott International
Leading AI/ML transformation for growth decisioning.
May 2022 – Apr 2023
Remote / HQ
Lead Data Scientist
CVS Health
Driving high-performance personalization engines at scale.
Apr 2012 – May 2022
Naperville, IL
Data Scientist, Emerging Tech
Precisely Inc. (formerly Infogix)
Pioneering Data Observability & Integrity with ML.
Prior to 2012
Global
Analytics & Data Engineering Leadership
Wipro / Others
Foundational expertise in predictive analytics & ETL.
Publications & Thought Leadership
A consolidated view of books, research papers, and technical articles.
Awards & Recognition
Honors for contributions to AI innovation and industry leadership.

International Hackathon – Bronze Medal
Awarded for detecting illegal fishing boats via satellite imagery classification.

Best Paper Award
Awarded Best Paper at an IEEE-organized conference held at a leading engineering institute.

Best Paper Award
Awarded Best Paper at an IEEE-organized conference held at a leading engineering institute.
Global Leadership Recognition
Awarded for exceptional leadership and strategic impact in global technology operations.
Media & Recognition
Featured articles and thought leadership.
The Hidden AI Cost Few Leaders Track: How Typos Inflate Your LLM Spend
Jan 16, 2026 • Article
AI Bridges The Trust Gap: How Explainable AI Aligns Modelers And Business Leaders
Feb 19, 2025 • Article
From AI Visionary to Industry Leader: Himanshu Sinha on Transforming Enterprises with Machine Learning and Generative AI
2024 • Interview
Skills
Core competencies.
AI/ML Leadership & Strategy
- Enterprise ML Portfolio Leadership
- AI Strategy & Roadmap
- Stakeholder Alignment
- Governance & Risk Management
- prioritization
ML Productization & MLOps
- Productionization
- Monitoring/Observability
- Model Drift & Evaluation
- Scalable Rollout
- Spark/Python Pipelines
Personalization & Optimization
- Decisioning Systems
- Uplift Modeling & Experimentation
- Recommendation Engines
- Customer Value Modeling
- Acquisition Optimization
Observability & Anomaly Detection
- Proactive Data Observability
- Novelty Detection
- Metadata Profiling
- Enterprise Data Integrity
Fraud & Customer Analytics
- Churn & Retention Modeling
- Fraud Detection
- Behavioral Prediction
- Multi-Market Deployments
GenAI Strategy & Adoption
- Use-Case Design
- Evaluation Strategy
- Guardrails & Safety
- Cost/Quality Tradeoffs
- Enterprise Adoption
Technical Core: GenAI & DL
- Transformers (BERT, GPT)
- GANs & VAEs
- Multi-Agent Systems
- Reinforcement Learning
- CNNs & LSTMs
Technical Core: Engineering
- Apache Spark & Hadoop
- Python (Pandas/PyTorch)
- SQL & Distributed Computing
- AWS/GCP/Azure ML Platforms
- MLOps Pipelines
Education
M.S., Business Analytics
Indiana University, Kelley School of Business
2016
M.B.A., Finance
Madurai Kamaraj University
B.C.A., Computer Applications
Indira Gandhi National Open University (IGNOU)








