Suvadip Chakraborty

About Suvadip Chakraborty

I turn data into revenue.Over 17 years at HSBC, I\'ve built and scaled AI-driven analytics engines that identify the right clients, predict their needs, and deliver personalized strategies across 50+ markets — generating measurable millions in new business revenue.What I Do: As Head of Global Analytics - India, for Commercial Banking, I lead teams that blend advanced machine learning, NLP, and network science to crack the hardest problem in banking: predictive client acquisition. We don\'t just build models — we build commercial engines that sales teams actually use.My Approach: I believe the future of enterprise AI isn\'t in the technology — it\'s in the translation. The best algorithms are worthless if they don\'t change behavior on the ground. My teams bridge the gap between cutting-edge data science and frontline business impact through:→ End-to-end ML productionization (from sandbox to revenue) → Non-traditional data monetization (network graphs, alternative signals) → Agile innovation labs that de-risk experimentation → Analytics training programs that democratize insightRecent Wins:• Pioneered network referral analytics across global supply chains — now a core acquisition channel • Built propensity models spanning $200+ M YoY in incremental revenue • Transitioned legacy campaign analytics to real-time event-driven architecture • Scaled teams from 4 to 30+ data scientists serving across 4 continents.Background: From Analyst to Lead Vice President, I\'ve lived every layer of the analytics stack — UK retail campaigns, US card fraud models, APAC wealth management, EMEA HNWI strategies. This breadth gives me a rare perspective: I know how to sell AI to CEOs and debug Python with my team in the same day.Currently Exploring: Generative AI for client insight synthesis | Graph neural networks for B2B relationship mapping | Causal inference in marketing mix optimization | Writing my 3rd Data-Science-Fiction novel, after the success of the first two.Let\'s Connect If: You\'re building or scaling enterprise AI/ML functions | You want to talk about commercializing data science | You want to talk about my books!Open to advisory roles, speaking engagements, and strategic partnerships

Experience

1. Lead Vice President

   HSBC

   Dec 2022 — Present

   Leading a 30+ data scientist team driving AI-powered client acquisition strategies for HSBC\'s $28B Commercial Banking division serving across 50+ markets.**Key Achievements:** • Built network referral analytics platform analyzing 2M+ B2B relationships — generated $200M in new client revenue within 18 months • Deployed ensemble ML models (XGBoost, LightGBM, neural nets) improving acquisition propensity prediction by 34% vs. baseline • Launched Innovation Lab focused on applied research — 1 patent pending in graph ML and NLP for relationship intelligence • Scaled team from 4 to 30+ across India through strategic hiring and capability development • Pioneered use of alternative data (web scraping, news NLP, trade flow APIs) for SME targetingTechnologies: Python, PySpark, GCP, Databricks, Neo4j, Qliksense.

Education

• Delhi School of Economics

  Masters, Economics

  2006 — 2008

• University of Calcutta

  B.Sc., Economics

  2003 — 2006

Skills

• Marketing Analytics
• Statistics
• Statistical Modeling
• Management
• Sas/Sql
• Management Consulting
• Banking
• Logistic Regression
• Databases
• Business Analytics
• Data Mining
• Customer Analysis
• Web Analytics
• Credit Cards
• Financial Risk
• Sas Programming
• Vba
• Business Analysis
• Predictive Modeling
• Econometrics
• Visual Basic for Applications (Vba)
• Sas
• Analytics
• Analysis
• Predictive Analytics
• R
• Data Analysis
• Segmentation
• Strategy
• Portfolio Management
• Leadership
• Economics