About

👋 👋 Hey—welcome! I’m Himanshu Sinha. I build enterprise AI/ML systems that turn messy, real-world data into decisions teams can actually ship: personalization, marketing optimization, and model-driven products.

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.

ImageTitleCategory
Approach (Almost) Every Business Problem with AI
Approach (Almost) Every Business Problem with AI
Amazon
Book
An Efficient Machine Learning Based Models for Anomaly Detection in Network Traffic
An Efficient Machine Learning Based Models for Anomaly Detection in Network Traffic
IEEE
Research
Analysis of anomaly and novelty detection in time series data using machine learning techniques
Analysis of anomaly and novelty detection in time series data using machine learning techniques
MSJ
Research
The Identification of Network Intrusions with Generative Artificial Intelligence Approach for Cybersecurity
The Identification of Network Intrusions with Generative Artificial Intelligence Approach for Cybersecurity
JoWACS
Research
Benchmarking Predictive Performance Of Machine Learning Approaches For Accurate Prediction Of Boston House Prices: An In-Depth Analysis
Benchmarking Predictive Performance Of Machine Learning Approaches For Accurate Prediction Of Boston House Prices: An In-Depth Analysis
IJARISE
Research
Generative Adversarial Networks for Improving Detection of Network Intrusions in IoT Environments
Generative Adversarial Networks for Improving Detection of Network Intrusions in IoT Environments
IEEE
Research
Automated Image Identification and Classification of Tiger Beetles Based on Deep Learning Model
Automated Image Identification and Classification of Tiger Beetles Based on Deep Learning Model
IEEE
Research
A Sentiment Analysis of Product Review Data Through Large Language Models (LLMs)
A Sentiment Analysis of Product Review Data Through Large Language Models (LLMs)
IEEE
Research
The Ultimate Blueprint for Enterprise Chatbots: Simplify, Scale, Succeed
The Ultimate Blueprint for Enterprise Chatbots: Simplify, Scale, Succeed
TechBullion
Article
Typos are no longer innocent: How a misspelled word quietly inflates your AI bill
Typos are no longer innocent: How a misspelled word quietly inflates your AI bill
Medium
Article
5 signs your company is falling for 'AI-generated strategy' — and what to do instead
5 signs your company is falling for 'AI-generated strategy' — and what to do instead
Medium
Article
The Time Deposit Method: How I Broke Free From Digital Addiction and Reclaimed My Life
The Time Deposit Method: How I Broke Free From Digital Addiction and Reclaimed My Life
Medium
Article
Spot the Red Flags: 3 Signs Your Young Team Members Are Falling Behind
Spot the Red Flags: 3 Signs Your Young Team Members Are Falling Behind
Medium
Article
Mastering Image Segmentation with Python: A Step-by-Step Guide to Build a U-Net Model
Mastering Image Segmentation with Python: A Step-by-Step Guide to Build a U-Net Model
Medium
Guide
How to Build a Proactive Data Drift Detection Platform with AI: Detect Anomalies Like a Pro
How to Build a Proactive Data Drift Detection Platform with AI: Detect Anomalies Like a Pro
Medium
Guide
AI-Powered Credit Card Recommendation Chatbot: How Generative AI is Transforming Personalization
AI-Powered Credit Card Recommendation Chatbot: How Generative AI is Transforming Personalization
Medium
Case Study

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)