Amit Raj Gupta

About Amit Raj Gupta

A seasoned Data Science & Analytics leader with 19+ years of experience in driving AI/ML innovation, data strategy, and analytics transformation across global organizations, including Tredence, Dunnhumby, ICICI, Fidelity Investments, and Sun Life Financial. Proven expertise in building and scaling high-performing Data Science teams, delivering AI-driven business impact, and mentoring future leaders across GCCs and consulting. Currently serving as Vice President at KPI Partners, holding dual responsibility as Site Head and Head of the Data Science practice, leading AI/ML strategy, cloud analytics, and delivery. Key Leadership Roles across GCCs and Consulting:# Chief Data Officer (CDO), Azimuth: Led Data Science, Data Analytics, Databricks in Azure Cloud, DevOps & MLOps, driving enterprise-wide AI adoption for multiple customers.# Senior Director, Data Science, Tredence: Built and scaled the Data Science Practice, spearheading AI-driven solutions for global clients.(200+ data scientists, revenue grew to 14M+ for Data Science practise)# Data Science Lead, Sun Life Financial: Led AI/ML initiatives for CXO (Client Experience Office) & Innovation Hub, optimizing customer experience through Data Science and AI. Led data science projects supporting CXO initiatives for a CAD 700M revenue portfolio, driving strategic insights and decision-making. Core competencies and Expertise:# Domains – Retail/CPG/FMCG, Banking, Financial Services, Insurance, Telecom, Manufacturing # Business/Consulting – Delivery, Program Management, GTM, Pre-sales, Client Pitches # Competencies – Conversational AI, Revenue Growth Mang, Trade Promotion, Pricing, Segmentation, Forecasting, Propensity Scoring, Fraud & Risk Analytics, Customer Analytics, Marketing Analytics, Attribution Modelling, Scorecard Development # Deep Learning & Generative AI – Expertise in Deep Learning, NLP & Generative AI, including Neural Networks, PyTorch, TensorFlow, LLMs (GPT-4, Llama, Claude), Retrieval-Augmented Generation (RAG), and PEFT (LoRA, QLoRA), GANs, Transformers, LLMOps, and multimodal AI # Machine Learning Algorithms – Expertise in Machine Learning, including Regression, Decision Trees, Ensemble Methods (Bagging, Boosting, XGBoost, GBM), & Time-Series Forecasting (ARIMAX, Smoothing)# Tools – Databricks, Python, R, DevOps, Pyspark, SAS, SQL, SQL Hive, Tableau, PowerBI # Cloud – Azure: Databricks, MLflow, Azure Data Factory, Azure DevOps, AWS: SageMaker, Redshift, Glue, Lambda, Step Functions, Google Cloud (GCP): BigQuery, Vertex AI, Dataflow, Kubernetes

Experience

1. Senior Director - Ai

   Opella

   May 2025 — Present

Education

• Stanford University

  Machine Learning

  2020 — 2020

• Visvesvaraya Technological University

  BE, EEE (Digital Signal Processing, Fuzzy Logic, Artificial Intelligence)

  2001 — 2005

• Centre for Development of Advanced Computing (C-DAC)

  PGDEVD, (Embedded systems and VLSI design, Programming, Advanced Computing)

  2006 — 2006

Skills

• Analytics
• Business Intelligence
• Sas
• Data Warehousing
• Business Analysis
• Crm
• Analysis
• Sas Programming
• Strategy
• Business Analytics
• Segmentation
• Sql
• Predictive Modeling
• Consulting
• Predictive Analytics
• Data Mining
• Oracle
• Dashboard
• Olap
• Business Development
• Project Management
• Big Data
• Customer Insight
• R
• Data Analysis
• Customer Relationship Management (Crm)