Sandipan Das Mahapatra

CEO

Bengaluru, Karnataka, India13 yrs 2 mos experience

Highly StableAI Enabled

Key Highlights

12+ years of experience in AI and ML.
Expertise in financial crime prevention and credit risk.
Leading Gen AI strategy at Commonwealth Bank.

Stackforce AI infers this person is a Fintech expert with a strong focus on AI and machine learning applications.

Contact

Skills

Core Skills

Ai StrategyMachine LearningRisk ManagementFraud DetectionData Analysis

Other Skills

BankingBusiness AnalysisCredit RiskCustomer Lifecycle ManagementData MiningData ScienceEmployee EngagementExplainable Boosting Machines (EBM)Large Language Models (LLM)LeadershipML OpsManagementMicrosoft ExcelNatural Language Processing (NLP)People Management

About

AI Leader with 12+ years of experience in Statistical/ML model development/validation, advanced ML/NLP/LLM implementation, and cloud technologies. Proven expertise in transforming the financial sector, focusing on credit risk, fraud detection, financial crime prevention, and marketing optimization. Currently shaping Gen AI strategy at Commonwealth Bank, focused on driving business growth through strategic AI adoption.

Experience

13 yrs 2 mos

Total Experience

3 yrs 7 mos

Average Tenure

2 yrs 4 mos

Current Experience

Commonwealth bank

Chapter Lead / Senior Manager

Feb 2024 – Present · 2 yrs 4 mos · Bengaluru

Leading the development of AI agents that automate complex enterprise tasks—focusing on scalable engineering, seamless integration, and real-world impact.
Built and scaled an in-house system to evaluate large language models—ensuring accuracy, fairness, and readiness for production use in GenAI applications.
Managing managers and cross-functional teams to deliver high-impact GenAI solutions with a strong focus on technical excellence and responsible AI practices.

Large Language Models (LLM)Natural Language Processing (NLP)ML OpsMachine LearningPythonAI Strategy

Wells fargo

Vice President

Dec 2020 – Feb 2024 · 3 yrs 2 mos · Bengaluru, Karnataka, India

Led risk oversight for 100+ machine learning models across products, focusing on robustness, explainability
Engineered a modular pipeline for credit risk modelling using Explainable Boosting Machines (EBM), with custom feature selection, hyperparameter tuning
Conducted extensive research on ML explainability, including residual slicing and robustness testing
Managed and mentored a team of 8+ data scientists, driving delivery of high-impact model risk initiatives

Machine LearningCredit RiskExplainable Boosting Machines (EBM)Data ScienceRisk Management

Jpmorgan chase & co.

3 roles

Assistant Vice President

Promoted

Feb 2019 – Dec 2020 · 1 yr 10 mos

Led end-to-end delivery of credit and fraud risk modelling projects across cards and payments, managing timelines, stakeholder alignment, and model deployment into production.
Oversaw cross-functional project execution involving data engineering, model development, and governance teams—ensuring scalable ML solutions aligned with business goals.

Credit RiskFraud DetectionMachine LearningRisk Management

Associate

Feb 2017 – Jan 2019 · 1 yr 11 mos

Developed high-performing fraud detection models using Python and PySpark, with strong focus on scalable engineering and real-time risk mitigation.

PythonPySparkFraud Detection

Senior Business Analyst

Jun 2015 – Jan 2017 · 1 yr 7 mos

Developed fraud detection models using SAS for both transaction-level and account-level risk, supporting real-time fraud prevention strategies.

SASFraud Detection

Hsbc

Business Analyst

Jan 2013 – May 2015 · 2 yrs 4 mos · Kolkata

Built propensity and survival scorecards to support customer lifecycle management across retail banking products, enabling data-driven decisions for acquisition, retention, and engagement.

Data ScienceCustomer Lifecycle ManagementData Analysis